publications

Google Scholar, and DBLP

2023

Xiohang Tang, Yi Zhou and Danushka Bollegala: Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July, 2023.

@inproceedings{Tang:ACL:2023,
  author = {Xiohang Tang and Yi Zhou and Danushka Bollegala},  
  title = {Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation},
  booktitle = {Proc. of  the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)},
  year = {2023}
}

Haochen Luo, Yi Zhou and Danushka Bollegala: Together We Make Sense--Learning Meta-Sense Embeddings, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023), Toronto, Canada, July, 2023.

@inproceedings{Luo:ACL:2023,
  author = {Haochen Luo and Yi Zhou and Danushka Bollegala},  
  title = {Together We Make Sense--Learning Meta-Sense Embeddings},
  booktitle = {Proc. of  the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023)},
  year = {2023}
}

Taichi Aida and Danushka Bollegala: Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023), Toronto, Canada, July, 2023.

@inproceedings{Aida:ACL:2023,
  author = {Taichi Aida and Danushka Bollegala},  
  title = {Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings},
  booktitle = {Proc. of  the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023)},
  year = {2023}
}

Saeth Wannasuphoprasit, Yi Zhou and Danushka Bollegala: Solving Cosine Similarity Underestimation between High Frequency Words by l2 Norm Discounting , Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023 Short Papers), Toronto, Canada, July, 2023.

@inproceedings{Saeth:ACL:2023,
  author = {Saeth Wannasuphoprasit and Yi Zhou and Danushka Bollegala},  
  title = {Solving Cosine Similarity Underestimation between High Frequency Words by l2 Norm Discounting },
  booktitle = {Proc. of  the 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023 Short Papers)},
  year = {2023}
}

Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh and Satoshi Nakamura: Evaluating the Robustness of Discrete Prompts, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Croatia, May, 2023.

@inproceedings{Ishibashi:EACL:2023,
  author = {Yoichi Ishibashi and Danushka Bollegala and Katsuhito Sudoh and Satoshi Nakamura},  
  title = {Evaluating the Robustness of Discrete Prompts},
  booktitle = {Proc. of  the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)},
  year = {2023}
}

Masahiro Kaneko, Danushka Bollegala and Naoaki Okazaki: Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples, Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), Croatia, May, 2023.

@inproceedings{Kaneko:EACL:2023,
  author = {Masahiro Kaneko and Danushka Bollegala and Naoaki Okazaki},  
  title = {Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples},
  booktitle = {Proc. of  the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023)},
  year = {2023}
}

Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, and Shan Luo: Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2023), UK, May, 2023.

@inproceedings{Guanqun:ICRA:2023,
  author = {Guanqun Cao and Jiaqi Jiang and Ningtao Mao and Danushka Bollegala and Min Li and Shan Luo},  
  title = {Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation},
  booktitle = {Proc. of  the IEEE International Conference on Robotics and Automation (ICRA 2023)},
  year = {2023}
}

2022

Lauren E Walker, Aseel S Abuzour, Danushka Bollegala, Andrew Clegg, Mark Gabbay, Alan Griffiths, Cecil Kullu, Gary Leeming, Frances S Mair, Simon Maskell, Samuel Relton, Roy A Ruddle, Eduard Shantsila, Matthew Sperrin, Tjeerd Van Staa, Alan Woodall and Iain Buchan: The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity,

@article{doi:10.1177/26335565221145493,
	author = {Lauren E Walker and Aseel S Abuzour and Danushka Bollegala and Andrew Clegg and Mark Gabbay and Alan Griffiths and Cecil Kullu and Gary Leeming and Frances S Mair and Simon Maskell and Samuel Relton and Roy A Ruddle and Eduard Shantsila and Matthew Sperrin and Tjeerd Van Staa and Alan Woodall and Iain Buchan},
	journal = {Journal of Multimorbidity and Comorbidity},
	pages = {26335565221145493},
	title = {The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity},
	volume = {12},
	year = {2022}}

Asahi Ushio and Danushka Bollegala: Zero-shot cross-lingual counterfactual detection via automatic extraction and prediction of clue phrases, Proc. of the EMNLP 2022 Workshop on Multilingual Repersentation Learning, Abu Dhabi, December, 2022.

@inproceedings{Ushio:EMNLP:2022,
  author = {Asahi Ushio and Danushka Bollegala},  
  title = {Zero-shot cross-lingual counterfactual detection via automatic extraction and prediction of clue phrases},
  booktitle = {Proc. of  the EMNLP 2022 Workshop on Multilingual Repersentation Learning},
  year = {2022}
}

Yi Zhou and Danushka Bollegala: On the Curious case of l2 norm of Sense Embeddings, Proc. of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, December, 2022.

@inproceedings{Zhou:EMNLP:2022,
  author = {Yi Zhou and Danushka Bollegala},  
  title = {On the Curious case of $\ell_2$ norm of Sense Embeddings},
  booktitle = {Proc. of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)},
  year = {2022}
}

Masahiro Kaneko, Danushka Bollegala, and Naoaki Okazaki: Gender Bias in Meta-Embedding, Proc. of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Abu Dhabi, December, 2022.

@inproceedings{Kaneko:EMNLP:2022,
  url = {https://arxiv.org/abs/2205.09867},  
  author = {Kaneko, Masahiro and Bollegala, Danushka and Okazaki, Naoaki},  
  title = {Gender Bias in Meta-Embeddings},
  booktitle = {Proc. of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)},
  year = {2022}
}

Katie Atkinson and Danushka Bollegala: AI for Patent Essentiality Review Social Science Research Network (SSRN), November, 2022.

@misc{Atkinson:SSRN:2022,
  author = {Katie Atkinson and Danushka Bollegala},  
  title = {AI for Patent Essentiality Review},
  howpublished = {Social Science Research Network (SSRN)},
  year = {2022}
}

Masahiro Kaneko, Danushka Bollegala and Naoaki Okazaki: Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks, Proc. of the 29th International Conference on Computational Linguistics (COLING 2022), Gyeongju, Republic of Korea, October, 2022.

@inproceedings{kaneko-etal-2022-debiasing,
    title = "Debiasing Isn{'}t Enough! {--} on the Effectiveness of Debiasing {MLM}s and Their Social Biases in Downstream Tasks",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.111",
    pages = "1299--1310",
    abstract = "We study the relationship between task-agnostic intrinsic and task-specific extrinsic social bias evaluation measures for MLMs, and find that there exists only a weak correlation between these two types of evaluation measures. Moreover, we find that MLMs debiased using different methods still re-learn social biases during fine-tuning on downstream tasks. We identify the social biases in both training instances as well as their assigned labels as reasons for the discrepancy between intrinsic and extrinsic bias evaluation measurements. Overall, our findings highlight the limitations of existing MLM bias evaluation measures and raise concerns on the deployment of MLMs in downstream applications using those measures.",
}

Tadashi Tsubota, Danushka Bollegala, Yang Zhao, Yingzi Jin and Tomotake Kozu: Improvement of intervention information detection for automated clinical literature screening during systematic review, Journal of Biomedical Informatics, August, 2022.

@article{TSUBOTA2022104185,
	author = {Tadashi Tsubota and Danushka Bollegala and Yang Zhao and Yingzi Jin and Tomotake Kozu},
	journal = {Journal of Biomedical Informatics},
	pages = {104185},
  doi = {doi.org/10.1016/j.jbi.2022.104185},
	title = {Improvement of intervention information detection for automated clinical literature screening during systematic review},
	year = {2022}}

Xiaohang Tang, Yi Zhou and Danushka Bollegala: Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation, arXiv, 2022.

@misc{https://doi.org/10.48550/arxiv.2208.10734,
  doi = {10.48550/ARXIV.2208.10734},  
  url = {https://arxiv.org/abs/2208.10734},  
  author = {Tang, Xiaohang and Zhou, Yi and Bollegala, Danushka},  
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},  
  title = {Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation},  
  publisher = {arXiv},  
  year = {2022},  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

Samantha Durdy, Michael Gaultois, Vladimir Gusev, Danushka Bollegala and Matthew J. Rosseinsky: Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties, Digital Discovery, 2022.

@article{Durdy:2022,
	author = {Samantha Durdy and Michael Gaultois and Vladimir Gusev and Danushka Bollegala and Matthew J. Rosseinsky},
	title = {Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties},
  journal = {Digital Discovery},
	year = {2022}}
  }

Danushka Bollegala: Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings, Proc. of 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI), Vienna, Austria, July, 2022.

@inproceedings{Bollegala:IJCAIa:2022,
	author = {Danushka Bollegala},
	booktitle = {Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI)},
	title = {Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings},
	year = {2022}}

Danushka Bollegala and James O'Neill: A Survey on Word Meta-Embedding Learning, Proc. of 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI), Vienna, Austria, July, 2022.

@inproceedings{Bollegala:IJCAIb:2022,
	author = {Danushka Bollegala and James O'Neill},
	booktitle = {Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI)},
	title = {A Survey on Word Meta-Embedding Learning},
	year = {2022}}

Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala and Naoaki Okazaki: Gender Bias in Masked Language Models for Multiple Languages , Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Seattle, USA, 2022.

@inproceedings{Kaneko:NAACL:2022,
	author = {Masahiro Kaneko and Aizhan Imankulova and Danushka Bollegala and Naoaki Okazaki},
	booktitle = {Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
	title = {Gender Bias in Masked Language Models for Multiple Languages},
	year = {2022}}

Huda Hakami, Mona Hakami, Angrosh Mandya and Danushka Bollegala: Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion, Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Seattle, USA, 2022.

@inproceedings{Hakami:NAACL:2022,
	author = {Huda Hakami and Mona Hakami and Angrosh Mandya and Danushka Bollegala},
	booktitle = {Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
	title = {Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion},
	year = {2022}}

Danushka Bollegala, Tomoya Machide and Ken-ichi Kawarabayashi: Query Obfuscation by Semantic Decomposition, Proc. of the 13th Language Resources and Evaluation Conference (LREC), Marseille, France, 2022.

@inproceedings{Bollegala:LREC:2022,
	author = {Danushka Bollegala and Tomoya Machide and Ken-ichi Kawarabayash},
	booktitle = {Proc. of the 13th Language Resources and Evaluation Conference (LREC)},
	title = {Query Obfuscation by Semantic Decomposition},
	year = {2022}}

Keigo Takahashi and Danushka Bollegala: Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models, Proc. of the 13th Language Resources and Evaluation Conference (LREC), Marseille, France, 2022.

@inproceedings{Takahashi:LREC:2022,
	author = {Keigo Takahashi and Danushka Bollegala},
	booktitle = {Proc. of the 13th Language Resources and Evaluation Conference (LREC)},
	title = {Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models},
	year = {2022}}

Micheal Abaho, Danushka Bollegala, Paula Williamson and Susanna Dodd: Position-based Prompting for Health Outcome Generation, Proc. of The 21st BioNLP workshop associated with the ACL SIGBIOMED special interest group, Dublin, Ireland, 2022.

@inproceedings{Abaho:2022,
	author = {Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},
	booktitle = {Proc. of the 21st BioNLP workshop associated with the ACL SIGBIOMED special interest group},
	title = {Position-based Prompting for Health Outcome Generation},
	year = {2022}}

Yi Zhou, Masahiro Kaneko and Danushka Bollegala: Sense Embeddings are also Biased -- Evaluating Social Biases in Static and Contextualised Sense Embeddings, Proc. of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, 2022.

@inproceedings{Zhou:2022,
	author = {Yi Zhou and Masahiro Kaneko and Danushka Bollegala},
	booktitle = {Proc. of the 60th Annual Meeting of the Association for Computational Linguistics},
	title = {Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings},
	year = {2022}}

Masahiro Kaneko and Danushka Bollegala: Unmasking the Mask -- Evaluating Social Biases in Masked Language Models, 　Proc. of the 36th AAAI Conference on Artificial Intelligence, Vancouver, Canada, 2022.

@inproceedings{Kaneko:2022,
	author = {Masahiro Kaneko and Danushka Bollegala},
	booktitle = {Proc. of the 36th AAAI Conference on Artificial Intelligence},
	title = {Unmasking the Mask -- Evaluating Social Biases in Masked Language Models},
	year = {2022}}

2021

Micheal Abaho, Danushka Bollegala, Paula Williamson and Susanna Dodd: Assessment of contextualised representations in detecting outcome phrases in clinical trials, European Journal for Biomedical Informatics, Volume 17, Issue 9, September, 2021.

@article{Abaho:EBJ:2020,
	author = {Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},
	journal = {European Journal for Biomedical Informatics},
	month = {September},
	number = {9},
	title = {Assessment of contextualised representations in detecting outcome phrases in clinical trials},
	volume = {17},
	year = {2021}
  }

Mohammed Alsuhaibani and Danushka Bollegala: Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications, Knowledge-Based Intelligent Systems in E-Health and Medical Communication Services, December, 2021. [DOI]

@article{Mohammed:2021,
  author={Mohammed Alsuhaibani and Danushka Bollegala},
  title={Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications},
  journal={Knowledge-Based Intelligent Systems in E-Health and Medical Communication Services},
  year={2021},
  volume={2021},
  pages={12}
  }

Yi Zhou and Danushka Bollegala: Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy, Proc. of the 35th Pacific Asia Conference on Language, Information and Computation (PACLIC), November, 2021.

@inproceedings{yi-zhou-2021-learning,
    title = "Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy",
    author = "Bollegala, Danushka  and
      Zhou, Yi",
    booktitle = "Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation",
    month = "11",
    year = "2021",
    address = "Shanghai, China",
    publisher = "Association for Computational Lingustics",
    url = "https://aclanthology.org/2021.paclic-1.2",
    pages = "11--20",
}

Masaru Isonuma, Danushka Bollegala, Junichiro Mori and Ichiro Sakata: Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance, Transactions of the Association for Computational Linguistics (TACL) (and presented at EMNLP), Volume 9, pp. 945-961, August, 2021.

@article{Isonuma:TACL:2021,
  author={Masaru Isonuma and Danushka Bollegala and Junichiro Mori and Ichiro Sakata},
  title={Unsupervised Abstractive Opinion Summarization by Generating  Sentences with Tree-Structured Topic Guidance},
  journal={Transactions of the Association for Computational Linguistics (TACL)},
  volume={9},
  pages={945--961},
  year={2021}}

Michael Abaho, Danushka Bollegala, Paula Williamson and Susanna Dodd: Detect and Classify -- Joint Span Detection and Classification for Health Outcomes, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 8709-8721, 2021.

@inproceedings{abaho-etal-2021-detect,
    title = "Detect and Classify {--} Joint Span Detection and Classification for Health Outcomes",
    author = "Abaho, Micheal  and
      Bollegala, Danushka  and
      Williamson, Paula  and
      Dodd, Susanna",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.686",
    pages = "8709--8721",
    abstract = "A health outcome is a measurement or an observation used to capture and assess the effect of a treatment. Automatic detection of health outcomes from text would undoubtedly speed up access to evidence necessary in healthcare decision making. Prior work on outcome detection has modelled this task as either (a) a sequence labelling task, where the goal is to detect which text spans describe health outcomes, or (b) a classification task, where the goal is to classify a text into a predefined set of categories depending on an outcome that is mentioned somewhere in that text. However, this decoupling of span detection and classification is problematic from a modelling perspective and ignores global structural correspondences between sentence-level and word-level information present in a given text. To address this, we propose a method that uses both word-level and sentence-level information to simultaneously perform outcome span detection and outcome type classification. In addition to injecting contextual information to hidden vectors, we use label attention to appropriately weight both word and sentence level information. Experimental results on several benchmark datasets for health outcome detection show that our proposed method consistently outperforms decoupled methods, reporting competitive results.",
}

James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota and Danushka Bollegala: I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 7092-7108, 2021.

@inproceedings{oneill-etal-2021-wish,
    title = "{I} Wish {I} Would Have Loved This One, But {I} Didn{'}t {--} A Multilingual Dataset for Counterfactual Detection in Product Review",
    author = "O{'}Neill, James  and
      Rozenshtein, Polina  and
      Kiryo, Ryuichi  and
      Kubota, Motoko  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.568",
    pages = "7092--7108",
    abstract = "Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Amazon product reviews covering counterfactual statements written in English, German, and Japanese languages. The dataset is unique as it contains counterfactuals in multiple languages, covers a new application area of e-commerce reviews, and provides high quality professional annotations. We train CFD models using different text representation methods and classifiers. We find that these models are robust against the selectional biases introduced due to cue phrase-based sentence selection. Moreover, our CFD dataset is compatible with prior datasets and can be merged to learn accurate CFD models. Applying machine translation on English counterfactual examples to create multilingual data performs poorly, demonstrating the language-specificity of this problem, which has been ignored so far.",
}

Mikhail Fain, Niall Twomey and Danushka Bollegala: Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora, Proc. of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Online, July, 2021.

@inproceedings{Fain:SIGIR:2021,
  author={Mikhail Fain and Niall Twomey and Danushka Bollegala},
  title={Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora},
  booktitle={Proc. of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)},
  pages={2106--2110},
  year={2021}}

Iqra Muhammad, Frans Coenon and Danushka Bollegala: Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank, Proc. of the 23rd International Conference on Big Data Analytics and Knowledge Discovery (DAWAK), September, 2021.

  @inproceedings{Muhammead:DAWAK:2021,    
    title={Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank},    
    author={Iqra Muhammad and Frans Coenon and Danushka Bollegala},    
    booktitle = {Proc. of the 23rd International Conference on Big Data Analytics and Knowledge Discovery (DAWAK)},
    year={2021}
  }

James O'Neill and Danushka Bollegala: Semantically-Conditioned Negative Samples for Efficient Contrastive Learning, arXiv preprint, 2021.

@misc{2102.06603,
	author = {James O' Neill and Danushka Bollegala},
	title = {Semantically-Conditioned Negative Samples for Efficient Contrastive Learning},
	year = {2021}}

Danushka Bollegala, Huda Hakami, Yuichi Yoshida and Ken-ichi Kawarabayashi: RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding, Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), April, 2021.

 @inproceedings{bollegala-etal-2021-relwalk,
    title = "{R}el{W}alk - A Latent Variable Model Approach to Knowledge Graph Embedding",
    author = "Bollegala, Danushka  and
      Hakami, Huda  and
      Yoshida, Yuichi  and
      Kawarabayashi, Ken-ichi",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.133",
    doi = "10.18653/v1/2021.eacl-main.133",
    pages = "1551--1565",
    abstract = "Embedding entities and relations of a knowledge graph in a low-dimensional space has shown impressive performance in predicting missing links between entities. Although progresses have been achieved, existing methods are heuristically motivated and theoretical understanding of such embeddings is comparatively underdeveloped. This paper extends the random walk model of word embeddings to Knowledge Graph Embeddings (KGEs) to derive a scoring function that evaluates the strength of a relation R between two entities h (head) and t (tail). Moreover, we show that marginal loss minimisation, a popular objective used in much prior work in KGE, follows naturally from the log-likelihood ratio maximisation under the probabilities estimated from the KGEs according to our theoretical relationship. We propose a learning objective motivated by the theoretical analysis to learn KGEs from a given knowledge graph.Using the derived objective, accurate KGEs are learnt from FB15K237 and WN18RR benchmark datasets, providing empirical evidence in support of the theory.",
}

Masahiro Kaneko and Danushka Bollegala: Debiasing Pre-trained Contextualised Embeddings, Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), April, 2021.

  @inproceedings{kaneko-bollegala-2021-debiasing,
    title = "Debiasing Pre-trained Contextualised Embeddings",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.107",
    doi = "10.18653/v1/2021.eacl-main.107",
    pages = "1256--1266",
    abstract = "In comparison to the numerous debiasing methods proposed for the static non-contextualised word embeddings, the discriminative biases in contextualised embeddings have received relatively little attention. We propose a fine-tuning method that can be applied at token- or sentence-levels to debias pre-trained contextualised embeddings. Our proposed method can be applied to any pre-trained contextualised embedding model, without requiring to retrain those models. Using gender bias as an illustrative example, we then conduct a systematic study using several state-of-the-art (SoTA) contextualised representations on multiple benchmark datasets to evaluate the level of biases encoded in different contextualised embeddings before and after debiasing using the proposed method. We find that applying token-level debiasing for all tokens and across all layers of a contextualised embedding model produces the best performance. Interestingly, we observe that there is a trade-off between creating an accurate vs. unbiased contextualised embedding model, and different contextualised embedding models respond differently to this trade-off.",
}

Masahiro Kaneko and Danushka Bollegala: Dictionary-based Debiasing of Pre-trained Word Embeddings, Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), April, 2021.

 @inproceedings{kaneko-bollegala-2021-dictionary,
    title = "Dictionary-based Debiasing of Pre-trained Word Embeddings",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.16",
    doi = "10.18653/v1/2021.eacl-main.16",
    pages = "212--223",
    abstract = "Word embeddings trained on large corpora have shown to encode high levels of unfair discriminatory gender, racial, religious and ethnic biases. In contrast, human-written dictionaries describe the meanings of words in a concise, objective and an unbiased manner. We propose a method for debiasing pre-trained word embeddings using dictionaries, without requiring access to the original training resources or any knowledge regarding the word embedding algorithms used. Unlike prior work, our proposed method does not require the types of biases to be pre-defined in the form of word lists, and learns the constraints that must be satisfied by unbiased word embeddings automatically from dictionary definitions of the words. Specifically, we learn an encoder to generate a debiased version of an input word embedding such that it (a) retains the semantics of the pre-trained word embedding, (b) agrees with the unbiased definition of the word according to the dictionary, and (c) remains orthogonal to the vector space spanned by any biased basis vectors in the pre-trained word embedding space. Experimental results on standard benchmark datasets show that the proposed method can accurately remove unfair biases encoded in pre-trained word embeddings, while preserving useful semantics.",
}

Atsumu Harada, Danushka Bollegala and Naiwala P. Chandrasiri: Discrimination of Human-Written and Human and Machine-written Sentences using Text Consistency, Proc. of IEEE International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), February, 2021.

  
@inproceedings{Harada:ICCCIS:2021,
	author = {Atsumu Harada and Danushka Bollegala and Naiwala P. Chandrasiri},
	booktitle = {Proc. of IEEE International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)},
	title = {Discrimination of Human-Written and Human and Machine-written Sentences using Text Consistency},
	year = {2021}}

2020

Angrosh Mandya, Danushka Bollegala and Frans Coenon: Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction Proc. of the 28th International Conference on Computational Linguistics (COLING), December, 2020.

  @inproceedings{Mandya:COLING:2020,    
    title={Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    booktitle = {Proc. of the 28th International Conference on Computational Linguistics (COLING)},  
    year={2020}
  }

Masahiro Kaneko and Danushka Bollegala: Autoencoding Improves Pre-trained Word Embeddings 28th International Conference on Computational Linguistics (COLING), December, 2020.

  @inproceedings{Kaneko:COLING:2020,    
    title={Autoencoding Improves Pre-trained Word Embeddings},    
    author={Masahiro Kaneko and Danushka Bollegala},    
    booktitle = {Proc. of the 28th International Conference on Computational Linguistics (COLING)},  
    year={2020}
  }

Katie Atkinson, Trevor Bench-Capon and Danushka Bollegala: Explanation in AI and Law: Past, Present and Future Artificial Intelligence, Volume 289, December, 2020. DOI

@article{ATKINSON:2020,
	Author = {Atkinson, Katie and Bench-Capon, Trevor and Bollegala, Danushka},
	Journal = {Artificial Intelligence},
	Pages = {103387},
	Title = {Explanation in AI and law: Past, present and future},
	Volume = {289},
	Year = {2020}}

Yi Zhou and Danushka Bollegala: Predicting the quality of translations without an oracle In Communications in Computer and Information Science, pages 3–23. Springer International Publishing, 2020.

@incollection{Zhou_2020,
	author = {Yi Zhou and Danushka Bollegala},
	booktitle = {Communications in Computer and Information Science},
	pages = {3--23},
	publisher = {Springer International Publishing},
	title = {Predicting the Quality of Translations Without an Oracle},
	year = 2020}

Yash Khemchandani, Steve O'Hagan, Soumitra Samanta, Neil Swainston, Timothy J Roberts, Danushka Bollegala and Douglas Kell: DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach Journal of Cheminformatics, 2020.

DOI

@article{Khemchandani:2020,
	Author = {Khemchandani, Yash and O'Hagan, Steve and Samanta, Soumitra and Swainston, Neil and Roberts, Timothy J and Bollegala, Danushka and Kell, Douglas},
	Journal = {Journal of Cheminformatics},
	Title = {DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach},
	Year = {2020}}

Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo: Spatio-temporal Attention Model for Tactile Texture Recognition Spatio-temporal Attention Model for Tactile Texture Recognition Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020.

@inproceedings{Cao:IROS:2020,
	Author = {Cao, Guanqun and Zhou, Yi and Bollegala, Danushka and Luo., Shan},
	Booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)},
	Title = {Spatio-temporal Attention Model for Tactile Texture Recognition Spatio-temporal Attention Model for Tactile Texture Recognition},
	Year = {2020}
  }

Asir Saeed, Khai Mai, Pham Minh, Nguyen Tuan Duc, Danushka Bollegala: Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents arXiv pre-print, May, 2020.

 @misc{saeed2020weaklysupervised,
    title={Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents},
    author={Asir Saeed and Khai Mai and Pham Minh and Nguyen Tuan Duc and Danushka Bollegala},
    year={2020},
    eprint={2005.03066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

Angrosh Mandya, Danushka Bollegala and Frans Coenon: Contextualised Graph Attention for Improved Relation Extraction arXiv pre-print, April, 2020.

  @misc{Mandya:CGAT:2020,    
    title={Contextualised Graph Attention for Improved Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    eprint={2004.10624},
    archivePrefix={arXiv},
    primaryClass={cs.CL}    
    year={2020}
  }

Xia Cui and Danushka Bollegala: Multi-source Attention for Unsupervised Domain Adaptation 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP), December, 2020.

  @inproceedings{Cui:2020,    
    title={Multi-source Attention for Unsupervised Domain Adaptation},    
    author={Xia Cui and Danushka Bollegala},    
    booktitle = {Proc. of 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP)},  
    pages = {873--883},
    year={2020}
  }

Masaru Isonuma, Junichiro Mori, Danushka Bollegala and Ichiro Sakata: Tree-Structured Neural Topic Model Proc. of the 20th Annual Conference of the Association for Computational Linguistics (ACL), July, 2020.

  @inproceedings{Isonuma:ACL:2020,    
    title={Tree-Structured Neural Topic Model},    
    author={Masaru Isonuma and Junichiro Mori and Danushka Bollegala and Ichiro Sakata},    
    booktitle={Proc. of the 20th Annual Conference of the Association for Computational Linguistics (ACL)},    
    year={2020}
  }

Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino and Haruki Yukawa: Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction Proc. of the 12th International Conference on Language Resources and Evaluation (LREC), May, 2020.

  @inproceedings{Bollegala:LREC:2020,    
    title={Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction},    
    author={Danushka Bollegala and Ryuichi Kiryo and Kosuke Tsujino and Haruki Yukawa},    
    booktitle={Proc. of the 12th International Conference on Language Resources and Evaluation (LREC)},    
    year={2020}
  }

Angrosh Mandya, James O' Neill, Danushka Bollegala and Frans Coenen: Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering Proc. of the 12th International Conference on Language Resources and Evaluation (LREC), May, 2020.

  @inproceedings{Mandya:LREC:2020,    
    title={Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering},    
    author={Angrosh Mandya and James O' Neill and Danushka Bollegala and Frans Coenen},    
    booktitle={Proc. of the 12th International Conference on Language Resources and Evaluation (LREC)},    
    year={2020}
  }

James O'Neill and Danushka Bollegala: Meta-Embedding as Auxiliary Task Regularization Proc. of the 24th European Conference on Artificial Intelligence (ECAI), June, 2020.

  @inproceedings{ONeill:ECAI:2020,    
    title={Meta-Embedding as Auxiliary Task Regularization},    
    author={James O'Neill and Danushka Bollegala},    
    booktitle={Proc. of the 24th European Conference on Artificial Intelligence (ECAI)},    
    year={2020}
  }

2019

Alessandro Torrisi, Robert Bevan, Danushka Bollegala, Katie Atkinson and Frans Coenon: Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents Proc. of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX), December, 2019.

  @inproceedings{Torisi:JURIX:2019,    
    title={Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents},    
    author={Alessandro Torrisi and Robert Bevan and Danushka Bollegala and Katie Atkinson and Frans Coenon},    
    booktitle={Proc. of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX)},    
    year={2019}
  }

Mikhail Fain, Andrey Ponikar, Ryan Fox and Danushka Bollegala: Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA arXiv, pre-print, November, 2019.

  @misc{fain2019dividing,
    title={Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA},
    author={Mikhail Fain and Andrey Ponikar and Ryan Fox and Danushka Bollegala},
    year={2019},
    eprint={1911.12763},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

James O'Neill and Danushka Bollegala: Learning to Evaluate Neural Language Models Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), October, 2019.

  @inproceedings{ONeill:PACLING:2019,    
    title={Learning to Evaluate Neural Language Models},    
    author={James O'Neill and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019}
  }

Wenye Chen, Huda Hakami and Danushka Bollegala: Learning to Compose Relational Embeddings in Knowledge Graphs Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), October, 2019.

  @inproceedings{Chen:PACLING:2019,    
    title={Learning to Compose Relational Embeddings in Knowledge Graphs},    
    author={Wenye Chen and Huda Hakami and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

Huda Hakami and Danushka Bollegala: Context-guided Self-Supervised Relation Embeddings Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), October, 2019.

  @inproceedings{Huda:PACLING:2019,    
    title={Context-guided Self-Supervised Relation Embeddings},    
    author={Huda Hakami and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

Pavithra Rajendran, Danushka Bollegala and Simon Parsons: A Pilot Study on Argument Simplification in Stance-based Opinions Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), October, 2019.

@inproceedings{Pavithra:PACLING:2019,
    Author = {Rajendran, Pavithra and Bollegala, Danushka and Parsons, Simon},
    Booktitle = {Proc. of PACLING},
    Title = {A Pilot Study on Argument Simplificatoin in Stance-based Opinions},
    Year = {2019}
}

Angrosh Mandya, Danushka Bollegala and Frans Coenon: Evaluating Co-reference Chains based Conversation History in Conversational Question Answering Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING), October, 2019.

  @inproceedings{Mandya:PACLING:2019,    
    title={Evaluating Co-reference Chains based Conversation History in Conversational Question Answering},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

Xia Cui and Danushka Bollegala: Self-Adaptation for Unsupervised Domain Adaptation Proc. of the Recent Advances in Natural Language Processing (RANLP), September, 2019.

  @inproceedings{Cui:RANLP:2019,    
    title={Self-Adaptation for Unsupervised Domain Adaptation},    
    author={Xia Cui and Danushka Bollegala},    
    booktitle={Proc. of the Recent Advances in Natural Language Processing (RANLP)},    
    year={2019} 
  }

Masahiro Kaneko and Danushka Bollegala: Gender-preserving Debiasing for Pre-trained Word Embeddings Proc. of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), July, 2019.

  
@inproceedings{kaneko-bollegala-2019-gender,
    Address = {Florence, Italy},
    Author = {Kaneko, Masahiro and Bollegala, Danushka},
    Booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
    Month = July,
    Pages = {1641--1650},
    Publisher = {Association for Computational Linguistics},
    Title = {Gender-preserving Debiasing for Pre-trained Word Embeddings},
    Year = {2019}}

Yi Zhou and Danushka Bollegala: Unsupervised Evaluation of Human Translation Quality Proc. of the 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR), pp. 55-64, September, 2019.

  @inproceedings{Zhou:KDIR:2019,    
    title={Unsupervised Evaluation of Human Translation Quality},    
    author={Yi Zhou and Danushka Bollegala},    
    booktitle={Proc. of the 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR)},  
    vol = {1},
    pages = {55--64}, 
    year={2019} 
  }

Micheal Abaho, Danushka Bollegala, Paula Williamson and Susanna Dodd: Correcting Crowdsourced annotations to Improve Detection of Outcome types in Evidence Based Medicine Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence, August, 2019.

  @inproceedings{Abaho:KDH:2019,    
    title={Correcting Crowdsourced annotations to Improve Detection of Outcome types in Evidence Based Medicine},    
    author={Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019} 
  }

James O'Neill, Danushka Bollegala, Peter Noble and Alan Radford: Tick Parasitism Classification from Noisy Medical Records Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence, August, 2019.

  @inproceedings{ONeill:KDH:2019,    
    title={Tick Parasitism Classification from Noisy Medical Records},    
    author={James O'Neill and Danushka Bollegala and Peter Noble and Alan Radford},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019} 
  }

Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen and Katie Atkinson: Extracting Supporting Evidence from Medical Negligence Claim Texts Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence, August, 2019.

  @inproceedings{Bevan:KDH:2019,    
    title={Extracting Supporting Evidence from Medical Negligence Claim Texts},    
    author={Robert Bevan and Alessandro Torrisi and Danushka Bollegala and Frans Coenen and Katie Atkinson},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019}, 
  }

Alessandro Torrisi, Robert Bevan, Danushka Bollegala, Katie Atkinson and Frans Coenon: Automated Bundle Pagination Using Machine Learning Proc. of the 17th International Conference on Artificial Intelligence and Law (ICAIL), June, 2019.

  @inproceedings{Torisi:ICAIL:2019,    
    title={Automated Bundle Pagination Using Machine Learning},    
    author={Alessandro Torrisi and Robert Bevan and Danushka Bollegala and Katie Atkinson and Frans Coenon},    
    booktitle={Proc. of the 17th International Conference on Artificial Intelligence and Law (ICAIL)},    
    year={2019} 
  }

Huda Hakami and Danushka Bollegala: Learning Relation Representations from Word Representations Proc. of the Automatic Knowledge Base Construction Conference (AKBC), May, 2019.

  @inproceedings{Hakami:AKBC:2019,    
    title={Learning Relation Representations from Word Representations},    
    author={Huda Hakami and Dansuhka Bollegala},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=r1e3WW5aTX},   
  }

Mohammed Alsuhaibani, Takanori Maehara and Danushka Bollegala: Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy Proc. of the Automatic Knowledge Base Construction Conference (AKBC), May, 2019.

  @inproceedings{Alsuhaibani:AKBC:2019,    
    title={Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy},    
    author={Mohammed Alsuhaibani and Takanori Maehara and Dansuhka Bollegala},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=S1xf-W5paX},   
  }

Angrosh Mandya, Danushka Bollegala, Frans Coenen and Katie Atkinson: Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction Proc. of the Automatic Knowledge Base Construction Conference (AKBC), May, 2019.

  @inproceedings{Angrosh:AKBC:2019,    
    title={Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=Sye0lZqp6Q},   
  }

Shan Luo, Jet-Tsyn Lee and Danushka Bollegala: "Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception Proc. of the IEEE International Conference on Robotics and Automation (ICRA), May, 2019.

@inproceedings{Luo:ICRA:2019,
   author = {Shan Luo and Jet-Tsyn Lee and Danushka Bollegala},
    title = {"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception},
  booktitle = {Proc. of IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {4276--4282},
  year = {2019}
}

Thai-Hoang Pham, Khai Mai, Nguyen Minh Trung, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano and Satoshi Sekine: Multi-Task Learning with Contextualized Word Representations for Extended Named Entity Recognition arXiv pre-print, 2019.

  @article{DBLP:journals/corr/abs-1902-10118,
  author    = {Thai{-}Hoang Pham and
               Khai Mai and
               Minh Trung Nguyen and
               Nguyen Tuan Duc and
               Danushka Bollegala and
               Ryohei Sasano and
               Satoshi Sekine},
  title     = {Multi-Task Learning with Contextualized Word Representations for Extented
               Named Entity Recognition},
  journal   = {CoRR},
  volume    = {abs/1902.10118},
  year      = {2019},
  url       = {http://arxiv.org/abs/1902.10118},
  archivePrefix = {arXiv},
  eprint    = {1902.10118},
  timestamp = {Tue, 21 May 2019 18:03:39 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1902-10118.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Abdullah Alsheri, Frans Coenon and Danushka Bollegala: Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain Knowledge Discovery, Knowledge Engineering and Knowledge Management

@InProceedings{Abdullah:2019,
  author={Alshehri, Abdullah and Coenen, Frans and Bollegala, Danushka},
  editor={Fred, Ana and Aveiro, David and Dietz, Jan L. G. and Liu, Kecheng and Bernardino, Jorge and Salgado, Ana and Filipe, Joaquim},
  title={Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain},
  booktitle={Knowledge Discovery, Knowledge Engineering and Knowledge Management},
  year={2019},
  publisher={Springer International Publishing},
  address={Cham},
  pages={43--66},
  isbn={978-3-030-15640-4}
}

2018

Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Katie Atkinson and Frans Coenen: Efﬁcient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning Proc. of the 31st International Conference on Legal Knoweledge and Information Systems (JURIX), pp. 171-175, 2018.

@inproceedings{Beven:JURIX:2018,
   author = {Robert Bevan and Alessandro Torrisi and Danushka Bollegala and Katie Atkinson and Frans Coenen},
    title = {Efﬁcient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning},
  booktitle = {Proc. of the 31st International Conference on Legal Knoweledge and Information Systems (JURIX)},
  pages = {171--175},
  year = {2018}
}

Huda Hakami, Kohei Hayashi and Danushka Bollegala: Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection Proc. of the 27th International Conference on Computational Linguistics (COLING), pp. 2493-2504, 2018.

@inproceedings{Huda:COLING:2018,
   author = {Huda Hakami and Kohei Hayashi and Danushka Bollegala},
    title = {Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection},
  booktitle = {Proc. of the 27th International Conference on Computational Linguistics (COLING)},
  pages = {2493--2504},
  year = {2018}
}

Cong Bao and Danushka Bollegala: Learning Word Meta-Embeddings by Autoencoding Proc. of the 27th International Conference on Computational Linguistics (COLING), pp. 1650-1661, 2018.

@inproceedings{bollegala-bao-2018-learning,
    title = "Learning Word Meta-Embeddings by Autoencoding",
    author = "Bollegala, Danushka  and
      Bao, Cong",
    booktitle = "Proceedings of the 27th International Conference on Computational Linguistics",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/C18-1140",
    pages = "1650--1661",
    abstract = "Distributed word embeddings have shown superior performances in numerous Natural Language Processing (NLP) tasks. However, their performances vary significantly across different tasks, implying that the word embeddings learnt by those methods capture complementary aspects of lexical semantics. Therefore, we believe that it is important to combine the existing word embeddings to produce more accurate and complete meta-embeddings of words. We model the meta-embedding learning problem as an autoencoding problem, where we would like to learn a meta-embedding space that can accurately reconstruct all source embeddings simultaneously. Thereby, the meta-embedding space is enforced to capture complementary information in different source embeddings via a coherent common embedding space. We propose three flavours of autoencoded meta-embeddings motivated by different requirements that must be satisfied by a meta-embedding. Our experimental results on a series of benchmark evaluations show that the proposed autoencoded meta-embeddings outperform the existing state-of-the-art meta-embeddings in multiple tasks.",
}

Khai Mai, ThaiHoang Pham, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano and Satoshi Sekine: Which Model Performs Best in This Situation? An Empirical Study on FineGrained Named Entity Recognition Proc. of the 27th International Conference on Computational Linguistics (COLING), pp. 711-722, 2018.

@inproceedings{Mai:COLING:2018,
   author = {Khai Mai and ThaiHoang Pham and Minh Trung Nguyen and Nguyen Tuan Duc and Danushka Bollegala and Ryohei Sasano and Satoshi Sekine},
    title = {Which Model Performs Best in This Situation? An Empirical Study on FineGrained Named Entity Recognition},
  booktitle = {Proc. of the 27th International Conference on Computational Linguistics (COLING)},
  pages = {711--722},
  year = {2018}
}

Danushka Bollegala, Kohei Hayashi and Ken-ichi Kawarabayashi: Think Globally, Embed Locally -- Locally Linear Meta-Embedding of Words, Proc. of IJCAI-EACI, pp. 3970-3976, 2018.

@inproceedings{Bollegala:IJCAI:2018,
   author = {Danushka Bollegala and Kohei Hayashi and Ken-ichi Kawarabayashi},
    title = {Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words},
  booktitle = {Proc. of IJCAI-EACI},
  pages = {3970--3976},
  year = {2018}
}

Xia Cui, Sadamori Kojaku, Naoki Masuda and Danushka Bollegala: Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition, Proc. of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), pp. 255-264, 2018.

@inproceedings{Cui:SEM:2018,
  author = {Xia Cui and Kojaku Sadamori and Naoki Masuda and Danushka Bollegala},
  title = {Solving Feature Spareness in Text Classification using Core-Periphery Decomposition},
  booktitle = {Seventh Joint Conference on Lexical and Computational Semantics},
  pages = {255--264},
  year = {2018}
}

Krasen Samardzhiev, Andrew Gargett and Danushka Bollegala: Learning Neural Word Salience Scores, Proc. of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), pp. 33-42, 2018.

@inproceedings{Smardzhiev:SEM:2018,
  author = {Krasen Samardzhiev and Andrew Gargett and Danushka Bollegala},
  title = {Learning Neural Word Salience Scores},
  booktitle = {Proc. of the Seventh Joint Conference on Lexical and Computational Semantics},
  pages = {33--42},
  year = {2018}
}

Danushka Bollegala, Vincent Atanasov, Takanori Maehara and Ken-ichi Kawarabayashi: ClassiNet - Predicting Missing Features for Short-Text Classification, ACM Transactions on Knowledge Discovery from Data (TKDD), pp. 1-29, 2018.

@article{Bollegala:TKDD:2018,
  author = {Danushka Bollegala and Vincent Atanasov and Takanori Maehara and Ken-ichi Kawarabayashi},
  title = {ClassiNet -- Predicting Missing Features for Short-Text Classification},
  journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
  pages = {1--29},
  year = {2018}
}

Danushka Bollegala, Richard Slone, Simon Maskell, Joanna Hajne and Munir Pirmohamed: Learning Causality Patterns for Detecting Adverse Drug Reactions from Social Media, Journal of Medical Internet Research Public Health Surveillance, doi:10.2196/publichealth.8214, pp. 1-20, 2018.

[DOI]

@article{Bollegala:JMIR:2018,
  author = {Danushka Bollegala and Richard Slone and Simon Maskell and Joanna Hajne and Munir Pirmohamed},
  title = {Learning Causality Patterns for Detecting Adverse Drug Reactions from Social Media},
  journal = {Journal of Medical Internet Research Public Health Surveillance},
  pages = {1--20},
  year = {2018}
}

Joshua Coates and Danushka Bollegala: Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 194-198, 2018.

@inproceedings{Coates:NAACL:2018,
  author = {Joshua Coates and Danushka Bollegala},
  title = {Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings},
  booktitle = {Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages = {194--198},
  year = {2018}
}

Pavithra Rajendran, Danushka Bollegala and Simon Parsons: Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset. Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pp. 28-34, 2018.

@inproceedings{Rajendran:NAACL:2018,
  author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
  title = {Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset},
  booktitle = {Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages = {28--34},
  year = {2018}
}

Xia Cui, Noor Al-Bazzaz, Danushka Bollegala and Frans Coenen: A Comparative Study of Pivot Selection Strategies for Unsupervised Cross-Domain Sentiment Classification, The Knowledge Engineering Review, Vol. 33, 2018.

@article{Xia:KER:2018,
  author = {Xia Cui and Noor Al-Bazzaz and Danushka Bollegala and Frans Coenen},
  title = {A Comparative Study of Pivot Selection Strategies for  Unsupervised Cross-Domain Sentiment Classification},
  journal = {The Knowledge Engineering Review},
  volume = {33},
  pages = {e5},
  year = {2018}
}

Mohammed Alsuhaibani, Danushka Bollegala, Takanori Maehara and Ken-ichi Kawarabayashi: Jointly Learning Word Embeddings Using a Corpus and a Knowledge Base, Plos One, Vol. 13, No. 3, pp. 1-26, 2018.

@article{Mohammed:PlosOne:2018,
  author = {Mohammed Alsuhaibani and Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
  title = {Jointly Learning Word Embeddings Using a Corpus and a Knowledge Base},
  journal = {Plos One},
  volume = {13},
  number = {3},
  pages = {1--26},
  doi = {doi.org/10.1371/journal.pone.0193094},
  year = {2018}
}

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Iterative Time Keystroke Continuous Authentication: A Time Series Based Approach, KI - Künstliche Intelligenz, Vol. 32, No. 1, pp. 1-13, 2018.

@article{Abdullah:KI:2018,
  author = {Abdullah Alsheri and Frans Coenen and Danushka Bollegala},
  title = {Iterative Time Keystroke Continuous Authentication: A Time Series Based Approach},
  journal = {KI - Künstliche Intelligenz},
  volume = {32},
  number = {1},
  pages = {1--13},
  year = {2018}
}

Mohammed Alsuhaibani and Danushka Bollegala: Joint Learning of Sense and Word Embeddings, Proc. of the 11-th edition of the Language Resources and Evaluation Conference, 7-12, pp. 1-7, Miyazaki, Japan, May, 2018.

@InProceedings{ALSUHAIBANI18.393,
  author = {Mohammed Alsuhaibani and Danushka Bollegala},
  title = "{Joint Learning of Sense and Word Embeddings}",
  booktitle = {Proc. of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  pages = {1--7},
  language = {english}
  }

Pavithra Rajendran, Danushka Bollegala and Simon Parsons: Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions, to appear in the Proc. of the 11-th edition of the Language Resources and Evaluation Conference, pp. 1-7, 7-12, Miyazaki, Japan, May, 2018.

@InProceedings{RAJENDRAN18.126,
  author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
  title = "{Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
   pages = {1--7},
  language = {english}
  }

Angrosh Mandya, Danushka Bollegala, Frans Coenen and Katie Atkinson: A Dataset for Inter-Sentence Relation Extraction using Distant Supervision, to appear in the Proc. of the 11-th edition of the Language Resources and Evaluation Conference, pp. 1-7, 7-12, Miyazaki, Japan, May, 2018.

@InProceedings{MANDYA18.790,
  author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
  title = "{A Dataset for Inter-Sentence Relation Extraction using Distant Supervision}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
   pages = {1--7},
  language = {english}
  }

Danushka Bollegala, Yuichi Yoshida, and Ken-ichi Kawarabayashi: Using k-way Co-occurrences for Learning Word Embeddings, Proc. of the 32-nd AAAI Conference on Artificial Intelligence, pp. 5037-5044, New Orleans, Louisiana, USA, 2018.

see arXiv version of the proofs

@ARTICLE{Bollegala:AAAI:2018,
   author = {Danushka Bollegala and Yuichi Yoshida and Ken-ichi Kawarabayashi},
    title = "{Using $k$-way Co-occurrences for Learning Word Embeddings}",
  inproceedings = {Proc. of the 32-nd AAAI Conference on Artificial Intelligence},
  pages = {5037--5044},
     year = {2018}
}

2017

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Spectral Analysis of Keystroke Streams: Towards Effective Real-Time Continuous User Authentication, 4th International Conference on Information Systems Security and Privacy (ICISSP), pp. 62-73, Madeira, Portugal. (2017.11).

@inproceedings{Alsheri:ICISSP:2017,
Title = {Spectral Analysis of Keystroke Streams: Towards Effective Real-Time Continuous User Authentication},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {4th International Conference on Information Systems Security and Privacy (ICISSP)},
Year = {2017},
pages = {62--73}
}

Danushka Bollegala, Kohei Hayashi, and Ken-ichi Kawarabayashi: Learning Linear Transformations between Counting-based and Prediction-based Word Embeddings, PLoS ONE, Vol. 12, no. 9, pp. 1-21, 2017.

@article{Bollegala:PLoS:2017,
  Author = {Danushka Bollegala and Kohei Hayashi and Ken-ichi Kawarabayashi},
  Journal = {PLoS ONE},
  volume = {12},
  number = {9},
  pages = {1--21},
  Month = {September},
  Title = {Learning Linear Transformations between Counting-based and Prediction-based Word Embeddings},
  Year = {2017}}

Huda Hakami and Danushka Bollegala: Compositional approaches for Representing Relations Between Words: A Comparative Study, Knowledge-Based Systems, 136C, pp. 172-182, 2017.

@article{Huda:KBS:2017,
  Author = {Huda Hakami and Danushka Bollegala},
  Journal = {Knowledge-Based Systems},
  Month = {September},
  Title = {Compositional approaches for Representing Relations Between Words: A Comparative Study},
  pages = {172--182},
  volume = {136C},
  Year = {2017}}

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming, 9th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), pp. 61-70, Madeira, Portugal. (2017.11)

@inproceedings{Alsheri:IC3K:2017,
Title = {Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of the 9th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)},
Year = {2017},
DOI = {10.5220/0006497200610070},
pages = {61--70}
}

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Spectral Analysis of Keystroke Streams: Towards Effective Real-Time and Continuous User Authentication, International Workshop on Spatial and Spatio-temporal Data Mining at the IEEE International Conference on Data Mining (ICDM), New Orleans, USA. (2017.11)

@inproceedings{Alsheri:ICDM:2017,
Title = {Spectral Analysis of Keystroke Streams: Towards Effective Real-Time and Continuous User Authentication},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of Workshop on Spatial and Spatio-temporal Data Mining (SSTDM) at the IEEE International Conference on Data Mining (SSTDM)},
Year = {2017}
}

Xia Cui, Frans Coenen, and Danushka Bollegala: Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies, Wokshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), PRML 74:103-115. (2017.09)

@inproceedings{Xia:LIDTA:2017,
Title = {Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies},
Author = {Xia Cui and Frans Coenen and Danushka Bollegala},
Booktitle = {Proc. of the Wokshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
issue = {74},
Year = {2017},
pages = {103--115}
}

Xia Cui, Frans Coenen, and Danushka Bollegala: TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), pp. 754-771. (2017.09)

@inproceedings{Xia:ECML:2017,
Title = {TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation},
Author = {Xia Cui and Frans Coenen and Danushka Bollegala},
Booktitle = {Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
Year = {2017},
pages = {754--771}
}

Tomoyuki Kajiwara, Danushka Bollegala, Yuichi Yoshida, and Ken-ichi Kawarabayashi: An Iterative Approach for the Global Estimation of Sentence Similarity, PLoS ONE, Vol. 12, no 9, pp. 1-15, 2017.

@article{Kajiwara:2017,
  Author = {Tomoyuki Kajiwara and Danushka Bollegala and Yuichi Yoshida and Ken-ichi Kawarabayashi},
  Journal = {PLoS ONE},
  Volume = {12},
  number = {9},
  Month = {July},
  Title = {An Iterative Approach for the Global Estimation of Sentence Similarity},
  Year = {2017}}

Danushka Bollegala: Dynamic Feature Scaling for Online Learning of Binary Classifiers, Knowledge-Based Systems, Vol. 129, pp. 97-195, 2017. [DOI]

@article{Bollegala:KBS:2017,
  Author = {Danushka Bollegala},
  Journal = {Knowledge-Based Systems},
  Month = {May},
  Title = {Dynamic Feature Scaling for Online Learning of Binary Classifiers},
  Volume = {129},
  Pages = {97-105},
  Year = {2017}}

Huda Hakami, Angrosh Mandya, and Danushka Bollegala: Discovering Representative Space for Relational Similarity Measurement, 15th International Conference of the Pacific Association for Computational Linguistics (PACLING), pp. 76-87, Yangon, Myanmar. (2017.08)

@inproceedings{Huda:PACLING:2017,
Title = {Discovering Representative Space for Relational Similarity Measurement},
Author = {Huda Hakami and Angrosh Mandya and Danushka Bollegala},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {76--87}
}

Pavithra Rajendran, Danushka Bollegala, and Simon Parsons: Identifying Argument based Relation Properties in Opinions, 15th International Conference of the Pacific Association for Computational Linguistics (PACLING), pp. 1-12, Yangon, Myanmar. (2017.08)

@inproceedings{Pavithra:PACLING:2017,
Title = {Identifying Argument based Relation Properties in Opinions},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {1--12}
}

Angrosh Mandya, Danushka Bollegala, Frans Coenen, and Katie Atkinson: Frame-based Semantic Patterns for Relation Extraction, 15th International Conference of the Pacific Association for Computational Linguistics (PACLING), pp. 51-62, Yangon, Myanmar. (2017.08)

@inproceedings{Angrosh:PACLING:2017,
Title = {Frame-based Semantic Patterns for Relation Extraction},
Author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {51--62}
}

Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Clare Roberts, and Katy Robson: CLIEL: Context-Based Information Extraction from Commercial Law Documents, 16th International Conference on Artificial Intelligence and Law (ICAIL), pp. 79-87, London, UK. (2017.06)

@inproceedings{Matias:ICAIL:2017,
Title = {CLIEL: Context-Based Information Extraction from Commercial Law Documents},
Author = {Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Clare Roberts, and Katy Robson},
Booktitle = {Proc. of the 16th International Conference on Artificial Intelligence and Law (ICAIL)},
Year = {2017},
DOI = {10.1145/3086512.3086520},
pages = {79--87}
}

Angrosh Mandya, Danushka Bollegala, Frans Coenen, and Katie Atkinson: Classifier-based Pattern Selection Approach for Relation Instance Extraction, International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), pp. 1-16, Budapest, Hungary. (2017.04)

@inproceedings{Mandya:CICLing:2017,
Title = {Classifier-based Pattern Selection Approach for Relation Instance Extraction},
Author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
Booktitle = {Proc. of the International Conference on Computational Linguistics and Intelligent Text Processing (CICLing)},
Year = {2017},
pages = {1--16},
Publisher = {LNCS, Springer}
}

2016

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Towards Keystroke Continuous Authentication Using Time Series Analytics, Research and Development in Intelligent Systems XXXIII, (SGAI 2016), pp. 325-339 Springer. (2016.12) First author received the Best Student Paper Award

@inproceedings{Alsheri:SGAI:2016,
Title = {Towards Keystroke Continuous Authentication Using Time Series Analytics},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of the 36th SGAI International Conference on Artificial Intelligence (SGAI), Research and Development in Intelligent Systems XXXIIII},
Year = {2016},
pages = {325--339},
Publisher = {Springer}
}

Pavithra Rajendran, Danushka Bollegala, and Simon Parsons: Assessing weight of opinion by aggregating coalitions of arguments, 6th International Conference on Computational Models of Argument (COMMA), pp. 431-438, Postdam, Germany. (2016.8)

@inproceedings{Rajendran:COMMA:2016,
Title = {Assessing weight of opinion by aggregating coalitions of arguments},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of 6th International Conference on Computational Models of Argument (COMMA)},
Year = {2016},
pages = {431--438},
Location = {Postdam, Germany}
}

Pavithra Rajendran, Danushka Bollegala, and Simon Parsons: Contextual Stance Classification of Opinions: A Step Towards Enthymeme Reconstruction in Online Reviews, 3rd Workshop on Argument Mining at Annual Conference of the Association for Computational Linguistics, pp. 31-39, Berlin, Germany. (2016.8)

@inproceedings{Rajendran:ARGMINING:2016,
Title = {Contextual Stance Classification of Opinions: A Step Towards Enthymeme Reconstruction in Online Reviews},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of 3rd Workshop on Argument Mining at Annual Conference of the Association for Computational Linguistics},
Year = {2016},
pages = {31--39},
Location = {Berlin, Germany}
}

Abdullah Alsheri, Frans Coenen, and Danushka Bollegala: Keyboard Usage Authentication using Time Series Analysis, 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWak 2016), pp. 239-252, Porto, Portugal. (2016.9)

@inproceedings{Alsheri:DAWAK:2016,
Title = {Keyboard Usage Authentication using Time Series Analysis},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWak 2016)},
Year = {2016},
pages = {239--252},
Location = {Porto, Portugal}
}

Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, and Ken-ichi Kawarabayashi: Joint Word Representation Learning using a Corpus and a Semantic Lexicon, 30th AAAI Conference on Artificial Intelligence (AAAI), pp. 2690-2696, Arizona, USA. (2016.2)

@inproceedings{Bollegala:AAAI:2016,
Title = {Joint Word Representation Learning using a Corpus and a Semantic Lexicon},
Author = {Danushka Bollegala and Mohammed Alsuhaibani and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 30th AAAI Conference on Artificial Intelligence (AAAI)},
Year = {2016},
pages = {2690-- 2696},
Location = {Arizona, USA}
}

2015

Huda Hakami, and Danushka Bollegala: A Classification Approach for Detecting Cross-lingual Biomedical Term Translations, Journal of Natural Language Engineering (JNLE), Vol. 1, Issue 1469-8110, pp. 1-21, 2015.

[DOI]

      @article{Huda:JNLE:2015,
      Title = {A Classification Approach for Detecting Cross-lingual Biomedical Term Translations},
      Author = {Huda Hakami and Danushka Bollegala},
      Journal = {Journal of Natural Language Engineering},
      Year = {2015},
      pages = {1--21},
      vol = {1},
      no = {1469-8110}
      }

Danushka Bollegala, Takanori Maehara, and Ken-ichi Kawarabayashi: Unsupervised Cross-Domain Word Representation Learning, 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (IJCNLP), pp. 730-740, Beijing, China, July, 2015

@inproceedings{Bollegala:ACL:2015,
Title = {Learning Word Representations from Relational Graphs},
Author = {Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 53rd Annual Meeting of the Association for Computational Linguistics (ACL), and the 7th International
Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (IJCNLP)},
Year = {2015},
pages = {730 -- 741},
Location = {Beijing, China}
}

Danushka Bollegala, Takanori Maehara, and Ken-ichi Kawarabayashi: Embedding Semantic Relations into Word Representations, International Joint Conferences on Artificial Intelligence (IJCAI 2015), pp. 1222-1228, Buenos Aires, Argentina, July, 2015.

@inproceedings{Bollegala:IJCAI:2015,
Title = {Embedding Semantic Relations into Word Representations},
Author = {Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of International Joint Conferences on Artificial Intelligence (IJCAI)},
Year = {2015},
pages = {1222 -- 1228},
Location = {Buenos Aires, Argentina}
}

Danushka Bollegala, Tingting Mu, and John Y. Goulermas: Cross-domain Sentiment Classification using Sentiment Sensitive Embeddings , IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 28, Issue 2, pp. 398-410, 2015.

[DOI]

@article{Bollegala:TKDE:2015,
Title = {Cross-domain Sentiment Classification using Sentiment Sensitive Embeddings},
Author = {Danushka Bollegala and Tingting Mu and John Y. Goulermas},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2015},
pages = {398--410},
vol = {28},
no = {2}
}

Pascal Kuyten, Danushka Bollegala, Bernd Hollerit, Helmut Prendinger, and Kiyoharu Aizawa: A Discourse Search Engine based on Rhetorical Structure Theory, 37th European Conference on Information Retrieval (ECIR 2015), pp. 80-91, Vienna, Austria. (2015.03)

@inproceedings{Kuyten:ECIR:2015,
Title = {A Discourse Search Engine based on Rhetorical Structure Theory},
Author = {Pascal Kuyten and Danushka Bollegala and Bernd Hollerit and Helmut Prendinger and Kiyoharu Aizawa},
Booktitle = {Proc. of 37th European Conference on Information Retrieval (ECIR 2015)},
Year = {2015},
pages = {80--91},
Location = {Vienna, Austria}
}

Richard Sloane, Orod Osanlou, David Lewis, Danushka Bollegala, Simon Maskell, and Munir Pirmohamed: Social Media and Pharmacovigilance: A Review of the Opportunities and Challenges, British Journal of Clinical Pharmacology, Vol. 80, Issue 4, pp. 910-920, 2015.

@article{Sloane:BJC:2015,
Title = {Social Media and Pharmacovigilance: A Review of the Opportunities and Challenges},
Author = {Richard Sloane and Orod Osanlou and David Lewis and Danushka Bollegala and Simon Maskell and Munir Pirmohamed},
Journal = {British Journal of Clinical Pharmacology},
Year = {2015},
pages = {910--920},
vol = {80},
no = {4}
}

Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, and Ken-ichi Kawarabayashi: Learning Word Representations from Relational Graphs, 29th AAAI Conference on Artificial Intelligence (AAAI 2015), pp. 2146-2152, Texas, USA. (2015.1)

@inproceedings{Bollegala:AAAI:2015,
Title = {Learning Word Representations from Relational Graphs},
Author = {Danushka Bollegala and Takanori Maehara and Yuichi Yoshida and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 29th AAAI Conference on Artificial Intelligence (AAAI)},
Year = {2015},
pages = {2146--2152},
Location = {Texas, USA}
}

Danushka Bollegala, Georgios Kontonatsios, and Sophia Ananiadou: A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations, PLoS ONE, pp. 1-28, Vol. 10, no. 6, 2015. [DOI]

@article{Bollegala:PLOS:2015,
Title = {A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations},
Author = {Danushka Bollegala and Georgios Kontonatsios and Sophia Ananiadou},
Journal = {PLoS ONE},
Year = {2015},
pages = {1--28},
vol = {10},
no = {6}
}

Nozomi Nori, Danushka Bollegala, and Mitsuru Ishizuka: Interest Prediction via User's Actions on Social Media, Transactions of the Japanese Society for Artificial Intelligence, Vol. 30, No. 4, pp. 168-176, 2015.

[DOI]

@article{Nori:TJSAI:2015,
Title = {Interest Prediction via User's Actions on Social Media},
Author = {Nozomi Nori and Danushka Bollegala and Mitsuru Ishizuka},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2015},
pages = {168--176},
vol = {30},
no = {4}
}

Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, and Hitoshi Iba: Improved sampling using loopy belief propagation for probabilistic model building genetic programming, Swarm and Evolutionary Computation, Vol. 23, pp. 1-8, August, 2015. [DOI]

@article{Sato:2015,
Title = {Improved sampling using loopy belief propagation for probabilistic model building genetic programming},
Author = {Hiroyuki Sato and Yoshihiko Hasegawa and Danushka Bollegala and Hitoshi Iba},
Journal = {Swarm and Evolutionary Computation},
Year = {2015},
pages = {1--8},
vol = {23}
}

Nozomi Nori, Danushka Bollegala, and Hisashi Kashima: Simultaneous Higher-order Relation Prediction via Collective Indicence Matrix Embedding, Transactions of the Japanese Society for Artificial Intelligence, Vol. 30, No. 2, pp. 459-465, 2015.

[DOI]

@article{Nori:2015b,
Title = {Simultaneous Higher-order Relation Prediction via Collective Indicence Matrix Embedding},
Author = {Nozomi Nori and Danushka Bollegala and Hisashi Kashima},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2015},
pages = {459--465},
vol = {30},
no = {2}
}

2014

Danushka Bollegala, David Weir, and John Carroll: Learning to Predict Distributions of Words across Domains, Annual Conference of the Association for Computational Linguistics (ACL 2014), pp. 613-623, Baltimore, Maryland, USA. (2014.6)

@inproceedings{Bollegala:ACL:2014,
Title = {Learning to Predict Distributions of Words across Domains},
Author = {Danushka Bollegala and David Weir and John Carroll},
Booktitle = {Proc. of Annual Conference of the Association for Computational Linguistics (ACL 2014)},
Year = {2014},
pages = {613 -- 623},
Location = {Baltimore, USA}
}

Nozomi Nori, Danushka Bollegala, and Hisashi Kashima: A Dimension Reduction Approach to Multinomial Relation Prediction , Transactions of the Japanese Society for Artificial Intelligence, Vol. 29, No. 1, pp. 168-176, 2014. Received the Award for the Best Journal Paper of the Year

@article{Nori:2014,
Title = {A Dimension Reduction Approach to Multinomial Relation Prediction},
Author = {Nozomi Nori and Danushka Bollegala and Hisashi Kashima},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2014},
pages = {168--176},
vol = {29},
no = {1}
}

2013

Danushka Bollegala, Mitsuru Kusumoto, Yuichi Yoshida, and Ken-ichi Kawarabayashi: Mining for Analogous Tuples from an Entity-Relation Graph, 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pp. 2064-2070, Beijing, China. (2013.8)

@inproceedings{Bollegala:IJCAI:2013,
Title = {Mining for Analogous Tuples from an Entity-Relation Graph},
Author = {Danushka Bollegala and Mitsuru Kusumoto and Yuichi Yoshida and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)},
Year = {2013},
pages = {2064 -- 2070},
Location = {Beijing, China}
}

Muhammad Asif Hossain Khan, Danushka Bollegala, Guangwen Liu, and Kaoru Sezaki: Multi-Tweet Summarization of Real-Time Events, ASE/IEEE International Conference on Social Computing, pp. 128-133, Washington D.C., USA. (2013.9)

[DOI]

@inproceedings{Khan:SC:2013,
Title = {Multi-Tweet Summarization of Real-Time Events},
Author = {Muhammad Asif Hossain Khan and Danushka Bollegala and Guangwen Liu and Kaoru Sezaki},
Booktitle = {Proc. of ASE/IEEE International Conference on Social Computing},
Year = {2013},
pages = {128 -- 133},
Location = {Washington, USA}
}

Hiroyuki Sato, Danushka Bollegala, Yoshihiko Hasegawa, and Hitoshi Iba: Learning Non-linear Ranking Functions for Web Search using Probabilistic Model Building GP, IEEE Congress on Evolutionary Computation (CEC 2013), pp. 3371-3378, Cancun, Mexico. (2013.6)

[DOI]

@inproceedings{Sato:CEC:2013,
Title = {Learning Non-linear Ranking Functions for Web Search using Probabilistic Model Building GP},
Author = {Hiroyuki Sato and Danushka Bollegala and Yoshihiko Hasegawa and Hitoshi Iba},
Booktitle = {Proc. of IEEE Congress on Evolutionary Computation (CEC 2013)},
Year = {2013},
pages = {3371 -- 3378},
Location = {Cancun, Mexico}
}

Muhammad Asif Hossain Khan, Danushka Bollegala, Guangwen Li, and Kaoru Sezaki: Delineating Real-Time Events by Identifying Relevant Tweets with Popular Discussion Points, ASE Human Journal, Vol. 2, No. 3, pp. 136-150, 2013.

@article{Khan:ASE:2013,
Title = {Delineating Real-Time Events by Identifying Relevant Tweets with Popular Discussion Points},
Author = {Muhammad Asif Hossain Khan and Danushka Bollegala and Guangwen Li and Kaoru Sezaki},
Journal = {ASE Human Journal},
Year = {2013},
pages = {136--150},
vol = {2},
no = {3}
}

Danushka Bollegala: Deep Learning for Natural Language Processing, Journal of the Japanese Society for Artificial Intelligence, Vol. 29, No. 2, pp. 195-203, 2013.

@article{Bollegala:TJSAI:2014,
Title = {Deep Learning for Natural Language Processing},
Author = {Danushka Bollegala},
Journal = {Journal of the Japanese Society for Artificial Intelligence},
Year = {2013},
pages = {195--203},
vol = {29},
no = {2}
}

Danushka Bollegala and Ekaterina Shutova: Metaphor Interpretation using Paraphrases Extracted from the Web, PLoS ONE, Vol. 8, No. 9, e74304, 2013.

[DOI]

@article{Bollegala:PLOS:2014,
Title = {Metaphor Interpretation using Paraphrases Extracted from the Web},
Author = {Danushka Bollegala and Ekaterina Shutova},
Journal = {PLoS ONE},
Year = {2014},
pages = {1--20},
vol = {8},
no = {9}
}

Ken-ichi Yokote, Danushka Bollegala, and Mitsuru Ishizuka: Jointly Learning Similarity Transformations for Textual Entailment Transactions of of the Japanese Society for Artificial Intelligence, Vol. 8, No. 2, pp. 220-229, 2013. [DOI]

@article{Yokote:JSAI:2013,
Title = {Jointly Learning Similarity Transformations for Textual Entailment},
Author = {Ken-ichi Yokote and Danushka Bollegala and Mitsuru Ishizuka},
Journal = {Transactions of of the Japanese Society for Artificial Intelligence},
Year = {2013},
pages = {220--229},
vol = {8},
no = {2}
}

Danushka Bollegala, Tomokazu Goto, Nguyen Tuan Duc, and Mitsuru Ishizuka: Improving Relational Similarity Measurement using Symmetries in Proportional Word Analogies, Information Processing and Management Journal, Vol. 49, Issue 1, pp. 355-369, Elsevier, January, 2013. [DOI]

@article{Bollegala:IPM:2013,
Title = {Improving Relational Similarity Measurement using Symmetries in Proportional Word Analogies},
Author = {Danushka Bollegala and Tomokazu Goto and Nguyen Tuan Duc and Mitsuru Ishizuka},
Journal = {Information Processing and Management Journal},
Year = {2013},
pages = {355--369},
vol = {49},
no = {1}
}

Danushka Bollegala, David Weir, and John Carroll: Cross-Domain Sentiment Classification using a Sentiment Sensitive Thesaurus, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, No. 8, pp. 1719-1731, August, 2013. [DOI]

@article{Bollegala:TKDE:2013,
Title = {Cross-Domain Sentiment Classification using a Sentiment Sensitive Thesaurus},
Author = {Danushka Bollegala and David Weir and John Carroll},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2013},
pages = {1719--1731},
vol = {25},
no = {8}
}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Minimally Supervised Novel Relation Extraction using Latent Relational Mapping, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 25, Issue 2, pp. 419-432, February, 2013. DOI

@article{Bollegala:TKDE:2013b,
Title = {Minimally Supervised Novel Relation Extraction using Latent Relational Mapping},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2013},
pages = {419--432},
vol = {25},
no = {2}
}

2012

Francisco Tacoa, Danushka Bollegala, and Mitsuru Ishizuka: A Context Expansion Method for Supervised Word Sense Disambiguation, Sixth IEEE International Conference on Semantic Computing (ICSC 2012), poster paper, pp. 339-341, Palremo, Italy. (2012.9)

@inproceedings{Tacoa:ICSC:2012,
Title = {A Context Expansion Method for Supervised Word Sense Disambiguation},
Author = {Francisco Tacoa and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of 6th IEEE International Conference on Semantic Computing (ICSC 2012)},
Year = {2012},
pages = {339--341},
Location = {Palremo, Italy}
}

Nozomi Nori, Danushka Bollegala, Hisashi Kashima: Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach Proceedings of the 26th National Conference on Artificial Intelligence (AAAI 2012), pp. 115-121, Toronto, Canada. (2012.7)

@inproceedings{Nori:AAAI:2012,
Title = {Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach},
Author = {Nozomi Nori and Danushka Bollegala and Hisashi Kashima},
Booktitle = {Proc. of the 26th National Conference on Artificial Intelligence (AAAI 2012)},
Year = {2012},
pages = {115--121},
Location = {Toronto, Canada}
}

Ken-ichi Yokote, Danushka Bollegala, Mitsuru Ishizuka: Similarity is not Entailment - Jointly Learning Similarity Transformations for Textual Entailment Proceedings of the 26th National Conference on Artificial Intelligence (AAAI 2012), pp. 1720-1726, Toronto, Canada. (2012.7)

@inproceedings{Yokote:AAAI:2012,
Title = {Similarity is not Entailment - Jointly Learning Similarity Transformations for Textual Entailment},
Author = {Ken-ichi Yokote and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 26th National Conference on Artificial Intelligence (AAAI 2012)},
Year = {2012},
pages = {1720--1726},
Location = {Toronto, Canada}
}

Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala and Hitoshi Iba: Probabilistic Model Building GP with Belief Propagation, IEEE Congress on Evolutionary Computation (CEC 2012), pp. 1-8, Brisbane, Australia. (2012.6)

[DOI]

@inproceedings{Sato:CEC:2012,
Title = {Probabilistic Model Building GP with Belief Propagation},
Author = {Hiroyuki Sato and Yoshihiko Hasegawa and Danushka Bollegala and Hitoshi Iba},
Booktitle = {Proc. of the IEEE Congress on Evolutionary Computation (CEC 2012)},
Year = {2012},
pages = {1--8},
Location = {Brisbane, Australia}
}

Danushka Bollegala, Naoaki Okazaki, and Mitsuru Ishizuka: A Prefernce Learning Approach to Sentence Ordering for Multi-document Summarization, Journal of Information Sciences, Vol. 217, pp. 78-95, Elsevier, December, 2012. [DOI]

@article{Bollegala:IPM:2012,
Title = {A Prefernce Learning Approach to Sentence Ordering for Multi-document Summarization},
Author = {Danushka Bollegala and Naoaki Okazaki and Mitsuru Ishizuka},
Journal = {Journal of Information Sciences},
Year = {2012},
pages = {78--95},
vol = {217}
}

Danushka Bollegala, Naoki Tani, and Mitsuru Ishizuka: Improving the Accuracy of Attribute Extraction using the Relatedness between Attribute Values Transactions of the Japanese Society for Artificial Intelligence, Vol. 27, No. 2, pp. 245-252, 2012. [DOI]

@article{Tani:JSAI:2012,
Title = {Improving the Accuracy of Attribute Extraction using the Relatedness between Attribute Values},
Author = {Danushka Bollegala and Naoki Tani and Mitsuru Ishizuka},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2012},
pages = {245--252},
vol = {27},
no = {2}
}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Measuring the degree of Synonymy between Words using Relational Similarity between Word Pairs as a Proxy, Institute of Electronics, Information and Communication Engineers (IEICE) Transactions on Information Systems, Vol. E95-D, No. 8, pp. 2116 - 2123, 2012. [DOI]

@article{Bollegala:IEICE:2012,
Title = {Measuring the degree of Synonymy between Words using Relational Similarity between Word Pairs as a Proxy},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Journal = {Institute of Electronics, Information and Communication Engineers (IEICE) Transactions on Information Systems},
Year = {2012},
pages = {2116-2123},
vol = {E95-D},
no = {8}
}

Nguen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka: Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus, ACM Transactions on Asian Language Information Processing (TALIP), Vol. 11, Issue 3, pp. 11:1 - 33, September, 2012. [DOI]

@article{Duc:TALIP:2012,
  Author = {Nguyen Tuan Duc and Danushka Bollegala and Mitsuru Ishizuka},
  Journal = {ACM Transactions on Asian Language Processing (TALIP)},
  Month = {September},
  Number = {3},
  Pages = {1 -- 33},
  Title = {Cross-Language Latent Relational Search between Japanese and English Languages using a Web Corpus},
  Volume = {11},
  Year = {2012}}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Automatic Annotation of Ambiguous Personal Names on the Web, Computational Intelligence, Vol. 28, Issue 3, pp. 398 - 425, August, 2012. DOI

@article{Bollegala:CompIntel:2012,
  Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  Journal = {Computational Intelligence},
  Month = {August},
  Number = {3},
  Pages = {398 -- 425},
  Title = {Automatic Annotation of Ambiguous Personal Names on the Web},
  Volume = {28},
  Year = {2012}}

2011

Nugyen Duc, Danushka Bollegala, and Mitsuru Ishizuka: Cross-Language Latent Relational Search: Mapping Knowledge across Languages, Proceedings of the 25th National Conference on Artificial Intelligence (AAAI 2011), pp. 1237-1242, San Francisco, USA. (2011.8)

@inproceedings{Duc:AAAI:2011,
Title = {Cross-Language Latent Relational Search: Mapping Knowledge across Languages},
Author = {Nugyen Duc and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 5th National Conference on Artificial Intelligence (AAAI 2011)},
Year = {2011},
pages = {1237 -- 1242},
Location = {San Francisco, USA},
}

Naoki Tani, Danushka Bollegala, Naiwala Chandrasiri, Shuhei Iitsuka, Keisuke Okamoto, Kazunari Nawa, Yutaka Matsuo: Collaborative Search in a Real-World Context, Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011) (poster paper), pp. 2137-2140, Glasgow, UK. (2011.10)

@inproceedings{Tani:CIKM:2012,
Title = {Collaborative Search in a Real-World Context},
Author = {Naoki Tani and Danushka Bollegala and Naiwala Chandrasiri and 
    Shuhei Iitsuka and Keisuke Okamoto and Kazunari Nawa and Yutaka Matsuo},
Booktitle = {Proc. of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011)},
Year = {2011},
pages = {2137--2140},
Location = {Glasgow, UK}
}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 2205-2210, Barcelona, Spain. (2011.7)

@inproceedings{Bollegala:IJCAI:2011,
Title = {Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011)},
Year = {2011},
pages = {2205 -- 2210},
Location = {Barcelona, Spain},
}

Nozomi Nori, Danushka Bollegala, and Mitsuru Ishizuka: Interest Prediction on Multinomial, Time-Evolving Social Graphs, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), pp. 2507-2512, Barcelona, Spain. (2011.7)

@inproceedings{Nori:IJCAI:2011,
Title = {Interest Prediction on Multinomial, Time-Evolving Social Graphs},
Author = {Nozomi Nori and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011)},
Year = {2011},
pages = {2507 -- 2512},
Location = {Barcelona, Spain},
}

Nozomi Nori, Danushka Bollegala, and Mitsuru Ishizuka: Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest, Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM 2011), pp. 241-248, Barcelona, Spain. (2011.7)

@inproceedings{Nori:ICWSM:2011,
Title = {Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest},
Author = {Nozomi Nori and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM 2011)},
Year = {2011},
pages = {241 -- 248},
Location = {Barcelona, Spain},
}

Danushka Bollegala, Nasimul Noman, and Hitoshi Iba: RankDE: Learning a Ranking Function for Information Retrieval using Differential Evolution, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), pp. 1771-1778, Dublin, Ireland. (2011.7)

Received the Best Paper Award

@inproceedings{Bollegala:GECCO:2011,
Title = {RankDE: Learning a Ranking Function for Information Retrieval using Differential Evolution},
Author = {Danushka Bollegala and Nasimul Noman and Hitoshi Iba},
Booktitle = {Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2011)},
Year = {2011},
pages = {1771 -- 1778},
Location = {Dublin, Ireland},
}

Nasimul Noman, Danushka Bollegala, and Hitoshi Iba: Differential Evolution with Self Adaptive Local Search, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011), pp. 1099-1106, Dublin, Ireland. (2011.7)

@inproceedings{Noman:GECCO:2011,
Title = {Differential Evolution with Self Adaptive Local Search},
Author = {Nasimul Noman and Danushka Bollegala and Hitoshi Iba},
Booktitle = {Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2011)},
Year = {2011},
pages = {1099 -- 1106},
Location = {Dublin, Ireland},
}

Nasimul Noman, Danushka Bollegala, and Hitoshi Iba: An Adaptive Differential Evolution Algorithm, Proceedings of the IEEE Congress on Evolutionary Computation (IEEE CEC 2011), pp. 2229-2236, New Orleans, USA. (2011.6)

@inproceedings{Noman:CEC:2011,
Title = {An Adaptive Differential Evolution Algorithm},
Author = {Nasimul Noman and Danushka Bollegala and Hitoshi Iba},
Booktitle = {Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2011)},
Year = {2011},
pages = {2229 -- 2236},
Location = {New Orleans, USA},
}

Danushka Bollegala, David Weir, and John Carroll: Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification, Proceedings of 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL/HLT 2011), pp. 132-141, Portland, Oregon, USA. (2011.6)

@inproceedings{Bollegala:ACL:2011,
Title = {Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification},
Author = {Danushka Bollegala and David Weir and John Carroll},
Booktitle = {Proc. of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL/HLT 2011)},
Year = {2011},
pages = {132 -- 141},
Location = {Oregon, USA},
}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: From Actors, Politicians, to CEOs: Domain Adaptation of Relational Extractors using a Latent Relational Mapping, Proceedings of the 20th International World Wide Web Conference (WWW 2011) poster session, pp. 13-14, Hyderabad, India. (2011.3)

@inproceedings{Bollegala:WWW:2011,
Title = {From Actors, Politicians, to CEOs: Domain Adaptation of Relational Extractors using a Latent Relational Mapping},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 20th International World Wide Web Conference (WWW 2011)},
Year = {2011},
pages = {13 -- 14},
Location = {Hyderabad, India},
}

Hugo Hernault, Danushka Bollegala, and Mitsuru Ishizuka: Semi-Supervised Discourse Relation Classification with Structural Learning, Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2011), Lecture Notes in Computer Science, Volume 6608/2011, pp. 340-352, Tokyo, Japan. (2011.02).

@inproceedings{Hernault:CICLING:2011,
Title = {Semi-Supervised Discourse Relation Classification with Structural Learning},
Author = {Hugo Hernault and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 20th International World Wide Web Conference (WWW 2011)},
Year = {2011},
pages = {340 -- 352},
Location = {Tokyo, Japan},
}

Haibo Li, Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Using Graph based Method to Improve Bootstrapping Relation Extraction, Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2011), Lecture Notes in Computer Science, Volume 6609/2011, pp. 127-138, Tokyo, Japan. (2011.02).

@inproceedings{Li:CICLING:2011,
Title = {Using Graph based Method to Improve Bootstrapping Relation Extraction},
Author = {Haibo Li and Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2011)},
Year = {2011},
pages = {127 -- 138},
Location = {Tokyo, Japan},
}

Danushka Bollegala: A Supervised Ranking Approach for Detecting Relationally Similar Word Pairs, Proceedings of the IEEE International Conference on Information and Automation for Sustainability (ICAfs 2011), pp. 323-328, Colombo, Sri Lanka.

@inproceedings{Bollegala:ICAFs:2011,
Title = {A Supervised Ranking Approach for Detecting Relationally Similar Word Pairs},
Author = {Danushka Bollegala},
Booktitle = {Proc. of the IEEE International Conference on Information and Automation for Sustainability (ICAfs 2011)},
Year = {2011},
pages = {323 -- 328},
Location = {Colombo, Sri Lanka},
}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: A Web Search Engine-based Approach to Measure Semantic Similarity between Words, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, no. 7, pp. 977-990, July, 2011. [DOI]

@article{Bollegala:TKDE:2011b,
  Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
  Month = {July},
  Number = {7},
  Pages = {977--990},
  Title = {A Web Search Engine-based Approach to Measure Semantic Similarity between Words},
  Volume = {23},
  Year = {2011}}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Automatic Discovery of Personal Name Aliases from the Web, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 23, no. 6, pp. 831-844, July, 2011. [DOI]

@article{Bollegala:TKDE:2011,
  Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  Journal = {IEEE Transactions on Knowledge and Data Engineering},
  Month = {July},
  Number = {6},
  Pages = {831 -- 844},
  Title = {Automatic Discovery of Personal Name Aliases from the Web},
  Volume = {23},
  Year = {2011}}

Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: A Supervised Classification approach for Measuring Similarity between Word Pairs, Transactions of the Institute of Electronics, Information and Communication Engineers (IEICE), Vol.E94-D, no. 11, pp. 2227-2233, November, 2011.

@article{Bollegala:IEICE:2011,
  Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  Journal = {Transactions of the Institute of Electronics, Information and Communication Engineers (IEICE)},
  Month = {November},
  Number = {11},
  Pages = {2227--2233},
  Title = {A Supervised Classification Approach for Measuring Similarity between Word Pairs},
  Volume = {E94-D},
  Year = {2011}}

Nguyen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka: Exploiting Relational Similarity between Entity Pairs for Latent Relational Search, Transactions of the Information Processing Society of Japan, Vol. 52, no. 4, pp. 1790-1802, 2011.

@article{Duc:2011,
  Author = {Nguyen Tuan Duc and Danushka Bollegala and Mitsuru Ishizuka},
  Journal = {Transactions of the Information Processing Society of Japan},
  Number = {4},
  Pages = {1790--1802},
  Title = {Exploiting Relational Similarity between Entity Pairs for Latent Relational Search},
  Volume = {52},
  Year = {2011}}

Nguyen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka: Relation Representation and Indexing Method for Fast and High Precision Latent Relational Search Engine, Special issue of the Transactions of the Japanese Society for Artificial Intelligence, Vol. 26, no. 2, pp. 307-312, 2011.

@article{Duc:JSAI:2011,
  Author = {Nguyen Tuan Duc and Danushka Bollegala and Mitsuru Ishizuka},
  Journal = {Special issue of the Transactions of the Japanese Society for Artificial Intelligence},
  Number = {2},
  Pages = {307--312},
  Title = {Relation Representation and Indexing Method for Fast and High Precision Latent Relatioal Search Engine},
  Volume = {26},
  Year = {2011}}

Wataru Sunayama, Yasufumi Takama, Danushka Bollegala, Yoko Nishihara, Hidekazu Tokunaga, Mineo Kushima, Mitsunori Matsushita： Total Environment for Text Data Mining, Transactions of the Japanese Society for Artificial Intelligence，Vol.26, No.4, pp. 483--493, 2011.

 
@article{Sunayama:2011,
  Author = {Wataru Sunayama and Yasufumi Takama and Danushka Bollegala and Yoko Nishihara and Hidekazu Tokunaga and Mineo Kushima and Mitsunori Matsushita},
  Journal = {Transactions of of the Japanese Society for Artificial Intelligence},
  Number = {4},
  Pages = {483--493},
  Title = {Total Environment for Text Data Mining},
  Volume = {26},
  Year = {2011}}

Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala, and Mitsuru Ishizuka: Improving Relational Search Performance using Relational Symmetries and Predictors, Transactions of the Japanese Society for Artificial Intelligence</a>, Vol. 26, no. 6, pp. 649-656, 2011. [DOI]

 
@article{Goto:2011,
  Author = {Tomokazu Goto and Nguyen Tuan Duc and Danushka Bollegala and Mitsuru Ishizuka},
  Journal = {Transactions of of the Japanese Society for Artificial Intelligence},
  Number = {6},
  Pages = {649--656},
  Title = {Improving Relational Search Performance using Relational Symmetries and Predictors},
  Volume = {26},
  Year = {2011}}

2010

Danushka Bollegala, Naoaki Okazaki and Mitsuru Ishizuka: A bottom up Approach to Sentence Ordering for Multi-document Summarization , Information Processing and Management, Vol. 46, Issue 1, pp. 89-109, Elsevier, 2010.

 
@article{Bollegala:IPM:2010,
  Author = {Danushka Bollegala and Naoaki Okazaki and Mitsuru Ishizuka},
  Journal = {Information Processing and Management},
  Month = {January},
  Number = {1},
  Pages = {89 -- 109},
  Title = {A bottom-up approach to sentence ordering for multi-document summarization},
  Volume = {46},
  Year = {2010}}

Keigo Watanabe, Danushka Bollegala, Yutaka Matsuo, and Mitsuru Ishizuka: Automatic Extraction of Related Terms using Web Search Engines, Journal of the Japan Society for Fuzzy Theory and Intelligent Informatics, Vol. 23, no. 4, pp. 483-493, 2010.

@article{Watanabe:2011,
  Author = {Keigo Watanabe and Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
  Journal = {Journal of the Japan Society for Fuzzy Theory and Intelligent Informatics},
  Number = {4},
  Pages = {483--493},
  Title = {Automatic Extraction of Related Terms using Web Search Engines},
  Volume = {23},
  Year = {2010}}

Hugo Hernault, Danushka Bollegala, and Mitsuru Ishizuka: A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations using Feature Vector Extension, Proceedings of the Empirical Methods in Natural Language Processing (EMNLP 2010), pp. 399-409, Massachusetts, USA. (2010.10)

@inproceedings{Hernault:EMNLP:2010,
Title = {A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations using Feature Vector Extension},
Author = {Hugo Hernault and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the Empirical Methods in Natural Language Processing (EMNLP 2010)},
Year = {2010},
pages = {399 -- 409},
Location = {Massachusetts, USA},
}

Hugo Hernault, Danushka Bollegala, and Mitsuru Ishizuka: Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations, Proceesings of the 11th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2010) (short paper), pp.55-58, Tokyo, Japan. (2010.09)

@inproceedings{Hernault:SIGDIAL:2010,
Title = {Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations},
Author = {Hugo Hernault and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 11th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2010)},
Year = {2010},
pages = {55 -- 58},
Location = {Tokyo, Japan},
}

Nugyen Duc, Danushka Bollegala, and Mitsuru Ishizuka: Using Relational Similarity between Word Pairs for Latent Relational Search on the Web, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2010) (short paper), pp. 196-199, Toronto, Canada. (2010.08)

[DOI]

@inproceedings{Duc:WI:2010,
Title = {Using Relational Similarity between Word Pairs for Latent Relational Search on the Web},
Author = {Nugyen Duc and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence (WI 2010)},
Year = {2010},
pages = {196 -- 199},
Location = {Toronto, Canada},
}

Tomokazu Goto, Nugyen Duc, Danushka Bollegala, and Mitsuru Ishizuka: Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results, Proceedings of the 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010) (short paper), pp. 595-600, Daegu, South Korea. (2010.08)

Received the Best Poster Paper Award

@inproceedings{Goto:PRICAI:2010,
Title = {Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results},
Author = {Tomokazu Goto and Nguyen Duc and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010)},
Year = {2010},
pages = {595 -- 600},
Location = {Daegu, South Korea},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Relational Duality: Unsupervised Extraction of Semantic Relations between Entities on the Web, Proceedings of the 19th International World Wide Web Conference (WWW 2010), pp. 151-160, North Carolina, USA. (2010.04)

@inproceedings{Bollegala:WWW:2010,
Title = {Relational Duality: Unsupervised Extraction of Semantic Relations between Entities on the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 19th International World Wide Web Conferece (WWW 2010)},
Year = {2010},
pages = {151 -- 160},
Location = {North Carolina, USA},
}

Hugo Hernault, Danushka Bollegala and Mitsuru Ishizuka: A Sequential Model for Discourse Segmentation, Proceedings of the 11th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2010), Lecture Notes in Computer Science, vol. 6008/2010, pp. 315-326, Romania. (2010.03)

@inproceedings{Hernault:CICLING:2010,
Title = {A Sequential Model for Discourse Segmentation},
Author = {Hugo Hernault and Danushka Bollegala and Mitsuru Ishizuka},
Booktitle = {Proc. of the 11th International Conference on
Intelligent Text Processing and Computational Linguistics (CICLing 2010)},
Year = {2010},
pages = {315 -- 326},
Location = {Romania},
}

2009

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web, Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2009), pp. 803-812, Singapore (2009.08).

@inproceedings{Bollegala:EMNLP:2009,
Title = {A Relational Model of Semantic Similarity between Words using 
Automatically Extracted Lexical Pattern Clusters from the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the Empirical Methods in Natural Language Processing (EMNLP 2009)},
Year = {2009},
pages = {803 -- 812},
Location = {Singapore},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Measuring the Similarity between Implicit Semantic Relations from the Web, Proceedings of the 18th International World Wide Web Conference (WWW 2009), pp. 651-660, Madrid, Spain (2009.04)

@inproceedings{Bollegala:WWW:2009,
Title = {Measuring the Similarity between Implicit Semantic Relations from the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 18th International World Wide Web Conference (WWW 2009)},
Year = {2009},
pages = {651 -- 660},
Location = {Madrid, Spain},
}

Keigo Watanabe, Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: A Two-Step Approach to Extracting Atrtibutes for People on the Web, Proceedings (online) of the Second Web People Search Task (WePS2) Workshop at 18th International World Wide Web Conference (WWW 2009), Madrid, Spain (2009.04)

@inproceedings{Watanabe:WEPS:2009,
Title = {A Two-Step Approach to Extracting Atrtibutes for People on the Web},
Author = {Keigo Watanabe and Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the of the Second Web People Search Task (WePS2)
 Workshop at 18th International World Wide Web Conference (WWW 2009)},
Year = {2009},
Location = {Madrid, Spain},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Measuring the Similarity between Implicit Semantic Relations using Web Search Engines, Proceedings (CD-ROM) of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009), pp. 104-113, Barcelona, Spain (2009.02)

@inproceedings{Bollegala:WSDM:2009,
Title = {Measuring the Similarity between Implicit Semantic Relations using Web Search Engines},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the Second ACM International Conference on Web Search and Data Mining (WSDM 2009)},
Year = {2009},
pages = {104 -- 113},
Location = {Barcelona, Spain},
}

2008

Danushka Bollegala, Taiki Honma, Yutaka Matsuo and Mitsuru Ishizuka: Automatically Extracting Personal Name Aliases from the Web, Proceedings of the 6th International Conference on Natural Language Processing (GoTAL 2008), Advances in Natural Language Processing Springer LNCS 5221, pp. 77-88, Gothenburg, Sweeden (2008.08).

@inproceedings{Bollegala:GoTAL:2008,
Title = {Automatically Extracting Personal Name Aliases from the Web},
Author = {Danushka Bollegala and Taiki Honma and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 6th International Conference on Natural Language Processing (GoTAL 2008)},
Year = {2008},
pages = {77 -- 88},
Location = {Gothenburg, Sweeden},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: WWW sits the SAT: Measuring Relational Similarity from the Web, Proceedings of the 18th European Conference on Artificial Intelligence (ECAI 2008), pp. 333-337, Patras, Greece (2008.07)

@inproceedings{Bollegala:ECAI:2008,
Title = {WWW sits the SAT: Measuring Relational Similarity from the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 18th European Conference on Artificial Intelligence (ECAI 2008)},
Year = {2008},
pages = {333 -- 337},
Location = {Patras, Greece},
}

Danushka Bollegala, Taiki Honma, Yutaka Matsuo and Mitsuru Ishizuka: Mining for Personal Name Aliases on the Web, (poster paper) Proceedings of 17th International World Wide Web Conference (WWW 2008), Vol.II, pp. 1107-1108, Beijing, China (2008.04)

@inproceedings{Bollegala:WWW:2008a,
Title = {Mining for Personal Name Aliases on the Web},
Author = {Danushka Bollegala and Taiki Honma and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 17th International World Wide Web Conference (WWW 2008)},
Year = {2008},
pages = {1107 -- 1108},
Location = {Beijing, China},
}

Danushka Bollegala, Taiki Honma, Yutaka Matsuo and Mitsuru Ishizuka: Identification of Personal Name Aliases on the Web, Online Proceedings of WWW 2008 Workshop on Social Web Search and Mining (SWSM 2008), 8 pages, Beijing, China (2008.04)

@inproceedings{Bollegala:WWW:2008b,
Title = {Identification of Personal Name Aliases on the Web},
Author = {Danushka Bollegala and Taiki Honma and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of WWW 2008 Workshop on Social Web Search and Mining},
Year = {2008},
Location = {Beijing, China},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts, (poster paper) Proceedings of 3rd International Joint Conferences on Natural Language Processing (IJCNLP 2008), Vol.II, pp. 865-870, Hyderabad, India (2008.1)

@inproceedings{Bollegala:IJCNLP:2008,
Title = {A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 3rd International Joint Conferences on Natural Language Processing (IJCNLP 2008)},
Year = {2008},
pages = {865 -- 870},
Location = {Hyderabad, India},
}

2007

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Measuring Semantic Similarity between Words Using Web Search Engines, Proceedings of the 16th International World Wide Web Conference (WWW 2007), pp. 757-766, Banff, Canada (2007.5)

@inproceedings{Bollegala:WWW:2007,
Title = {Measuring Semantic Similarity between Words Using Web Search Engines},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 16th International World Wide Web Conference (WWW 2007)},
Year = {2007},
pages = {757 -- 766},
Location = {Banff, Canada},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web , Proceedings of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2007), pp. 340-347, Rochester, New York (2007.4)

@inproceedings{Bollegala:NAACL:2007,
Title = {An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2007)},
Year = {2007},
pages = {340 -- 347},
Location = {Rochester, New York},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases , Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI) 2007 Workshop on Text-Mining and Link-Analysis (TextLink 2007), 10 pages, Hyderabad, India (2007.1)

@inproceedings{Bollegala:IJCAI:2007,
Title = {Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the International Joint Conferences on Artificial Intelligence 
(IJCAI) 2007 Workshop on Text-Mining and Link-Analysis (TextLink 2007)},
Year = {2007},
Location = {Hyderabad, India},
}

2006

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases, Proceedings of the European Conference of Artificial Intelligence (ECAI2006), pp. 553-557, Italy (2006.8)

@inproceedings{Bollegala:ECAI:2006,
Title = {Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the European Conference of Artificial Intelligence (ECAI2006)},
Year = {2006},
Pages = {553 -- 557},
Location = {Italy},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Extracting Key Phrases to Disambiguate Personal Name Queries in Web Search, Proceedings of the Workshop "How can Computational Linguistics improve Information Retreival?", at the joint 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL 2006), pp.17-24 , Sydney, Australia, (2006.07)

@inproceedings{Bollegala:COLING:2006,
Title = {Extracting Key Phrases to Disambiguate Personal Name Queries in Web Search},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the Workshop ``How can Computational Linguistics improve Information Retreival?'',
at the joint 21st International Conference on Computational Linguistics and 
the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL 2006)},
Year = {2006},
Pages = {17 -- 24},
Location = {Sydney, Australia},
}

Danushka Bollegala, Naoaki Okazaki and Mitsuru Ishizuka: A bottom-up approach to Sentence Ordering for Multi-document Summarization, Proceedings of the joint 21st International Conference on Computational Linguistics and the 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL 2006), pp. 385-392, Sydney, Australia. (2006.07)

@inproceedings{Bollegala:COLING:2006,
Title = {A bottom-up approach to Sentence Ordering for Multi-document Summarization},
Author = {Danushka Bollegala and Naoaki Okazaki and Mitsuru Ishizuka},
Booktitle = {Proc. of the joint 21st International Conference on 
Computational Linguistics and the 44th Annual Meeting of the
Association for Computational Linguistics (COLING-ACL 2006)},
Year = {2006},
Pages = {385 -- 392},
Location = {Sydney, Australia},
}

Yutaka Matsuo, Masahiro Hamasaki, Hideaki Takeda, Junichiro Mori, Danushka Bollegala, Hiroyuki Nakamura, Takuichi Nishimura, Koiti Hashida and Mitsuru Ishizuka: Spinning Multiple Social Networks for Semantic Web, Proceedings of the 21st National Conference on Artificial Intelligence (AAAI 2006), pp 1381-1387, Boston, MA, USA,(2006.07)

@inproceedings{Bollegala:AAAI:2006,
Title = {Spinning Multiple Social Networks for Semantic Web},
Author = {Yutaka Matsuo and Masahiro Hamasaki and Hideaki Takeda and Junichiro Mori and Danushka
Bollegala and Hiroyuki Nakamura and Takuichi Nishimura and Koiti Hashida and Mitsuru Ishizuka},
Booktitle = {Proc. of the 21st National Conference on Artificial Intelligence (AAAI 2006)},
Year = {2006},
Pages = {1381 -- 1387},
Location = {Boston, USA},
}

Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: Extracting Key Phrases to Disambiguate Personal Names on the Web, Proceedings of the 7th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2006), pp. 223-234, Mexico City, Mexico, (2006.02)

@inproceedings{Bollegala:CICLING:2006,
Title = {Extracting Key Phrases to Disambiguate Personal Names on the Web},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 7th International Conference on 
Intelligent Text Processing and Computational Linguistics (CICLing 2006)},
Year = {2006},
Pages = {223 -- 234},
Location = {Mexico City, Mexico},
}

2005

Danushka Bollegala, Naoaki Okazaki and Mitsuru Ishizuka: A Machine Learning Approach to Sentence Ordering for Multi-document Summarization and its Evaluation, Proceedings of the 2nd International Joint Conference on Natural Language Processing (IJCNLP 2005), pp. 624-635, Jeju, South Korea, (2005.10)

@inproceedings{Bollegala:IJCNLP:2005,
Title = {A Machine Learning Approach to Sentence Ordering for Multi-document Summarization and its Evaluation},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Booktitle = {Proc. of the 2nd International Joint Conference on Natural Language Processing (IJCNLP 2005)},
Year = {2005},
Pages = {624 -- 635},
Location = {Jeju, South Korea},
}

</ol>