Danushka Bollegala

Publications


    2024

  1. Micheal Abaho, Danushka Bollegala, Gary Leeming and Dan W Joyce: Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), Mexico City, Mexico, June 16-21, 2024. URL
  2. Masahiro Kaneko, Danushka Bollegala and Timothy Baldwin: Eagle: Ethical Dataset Given from Real Interactions, arXiv pre-print URL
  3. Gaifan Zhan, Yi Zhou and Danushka Bollegala: Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings, Proceedings of the Joint Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) URL
  4. Daisuke Oba, Masahiro Kaneko and Danushka Bollegala: In-Contextual Gender Bias Suppression for Large Language Models, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) URL
  5. Masahiro Kaneko, Danushka Bollegala and Timothy Baldwin: The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing, arXiv, January, 2024. URL
  6. Procheta Sen, Tulika Saha and Danushka Bollegala: Report on the 1st Symposium on NLP for Social Good (NSG 2023), Event Report at ACM SIGIR Forum, January, 2024. URL

    7. 2023

  7. Yi Zhou, Jose Camacho Collados, and Danushka Bollegala: A Predictive Factor Analysis of Social Biases and Task-Performance in Pre-trained Masked Language Models, Proceedings of the Empirical Methods in Natural Language Processing (EMNLP), December, 2023. URL
  8. Taichi Aida and Danushka Bollegala: Swap and Predict -- Unsupervised Lexical Semantic Change Detection across Corpora by Context Swapping, Proceedings of the Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), December, 2023. URL
  9. Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen and Danushka Bollegala: Can Word Sense Distribution Detect Semantic Changes of Words, Proceedings of the Findings Empirical Methods in Natural Language Processing (Findings of EMNLP), December, 2023. URL
  10. Daisuke Oba, Masahiro Kaneko and Danushka Bollegala: In-Contextual Bias Suppression for Large Language Models, arXiv, September, 2023. URL
  11. Danushka Bollegala, Shuichi Otake, Tomoya Machide and Ken-ichi Kawarabayashi: A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings, Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), November, 2023. URL
  12. Masahiro Kaneko, Danushka Bollegala and Naoaki Okazaki: The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated, Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), November, 2023. URL
  13. Tianhui Zhang, Danushka Bollegala and Bei Peng: Learning to Predict Concept Ordering for Common Sense Generation, Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), November, 2023. URL
  14. Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, and Shan Luo: Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders, Proceedings of the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October, 2023.
  15. Samantha Durdy, Michael W. Gaultois, Vladimir Gusev, Danushka Bollegala and Matthew J. Rosseinsky: Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context , arXiv (per-print), May, 2023. URL
  16. 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. URL
  17. 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. URL
  18. 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. URL
  19. 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. URL
  20. 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. URL
  21. 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. URL
  22. 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. arXiv URL

    23. 2022

  23. 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, URL
  24. 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. URL
  25. 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. URL
  26. 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. URL
  27. Katie Atkinson and Danushka Bollegala: AI for Patent Essentiality Review Social Science Research Network (SSRN), November, 2022. URL
  28. 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. URL
  29. 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. URL
  30. 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. URL
  31. 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. URL
  32. 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. URL
  33. 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. URL
  34. 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. URL
  35. 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. URL
  36. 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. URL
  37. 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. URL
  38. 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. URL
  39. 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. URL

    40. 2021

  40. 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. URL
  41. 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. URL
  42. 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. URL
  43. 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. URL
  44. 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. URL
  45. 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. URL
  46. 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. URL
  47. 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. URL
  48. James O'Neill and Danushka Bollegala: Semantically-Conditioned Negative Samples for Efficient Contrastive Learning, arXiv preprint, 2021. URL
  49. 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. URL
  50. 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. URL
  51. 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. URL
  52. 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. URL

    53. 2020

  53. 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. URL
  54. Masahiro Kaneko and Danushka Bollegala: Autoencoding Improves Pre-trained Word Embeddings 28th International Conference on Computational Linguistics (COLING), December, 2020. URL
  55. Katie Atkinson, Trevor Bench-Capon and Danushka Bollegala: Explanation in AI and Law: Past, Present and Future Artificial Intelligence, Volume 289, December, 2020. DOI
  56. 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. URL
  57. 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
  58. 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. URL
  59. 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. URL
  60. Angrosh Mandya, Danushka Bollegala and Frans Coenon: Contextualised Graph Attention for Improved Relation Extraction arXiv pre-print, April, 2020. URL
  61. 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. URL
  62. 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. URL
  63. 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. URL
  64. 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. URL
  65. James O'Neill and Danushka Bollegala: Meta-Embedding as Auxiliary Task Regularization Proc. of the 24th European Conference on Artificial Intelligence (ECAI), June, 2020. URL

    66. 2019

  66. 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. URL
  67. Mikhail Fain, Andrey Ponikar, Ryan Fox and Danushka Bollegala: Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA arXiv, 2019. URL
  68. 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. URL
  69. 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. URL
  70. 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. URL
  71. 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. URL
  72. 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. URL
  73. Xia Cui and Danushka Bollegala: Self-Adaptation for Unsupervised Domain Adaptation Proc. of the Recent Advances in Natural Language Processing (RANLP), September, 2019. URL
  74. 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. URL
  75. 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. URL
  76. 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. URL
  77. 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. URL
  78. 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. URL
  79. 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. URL
  80. Huda Hakami and Danushka Bollegala: Learning Relation Representations from Word Representations Proc. of the Automatic Knowledge Base Construction Conference (AKBC), May, 2019. URL
  81. 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. URL
  82. 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. URL
  83. 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. URL
  84. 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. URL
  85. 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 URL

    86. 2018

  86. 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. URL
  87. 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. URL
  88. 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. URL
  89. 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. URL
  90. 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. URL
  91. 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. URL
  92. 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. URL
  93. 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. PDF DOI
  94. 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. PDF DOI
  95. 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. URL
  96. 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. URL
  97. 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. PDF
    98. URL
  98. 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. URL
  99. 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. PDF URL
  100. 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. URL
  101. 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. URL
  102. 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. URL
  103. 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. URL

    104. 2017

  104. 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). URL
  105. 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. URL
  106. Huda Hakami and Danushka Bollegala: Compositional approaches for Representing Relations Between Words: A Comparative Study, Knowledge-Based Systems, 136C, pp. 172-182, 2017. URL
  107. 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) URL
  108. 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) URL
  109. 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) URL
  110. 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) URL
  111. 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. URL
  112. Danushka Bollegala: Dynamic Feature Scaling for Online Learning of Binary Classifiers, Knowledge-Based Systems, Vol. 129, pp. 97-195, 2017. DOI URL
  113. 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) URL
  114. 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) URL
  115. 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) URL
  116. 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) PDF DOI
  117. 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) PDF

    118. 2016

  118. 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 PDF
  119. 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) PDF
  120. 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) URL
  121. 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) PDF
  122. 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) URL

    123. 2015

  123. 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. PDF URL
  124. 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 URL
  125. 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. URL
  126. 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. PDF URL
  127. 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. PDF URL
  128. 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. PDF URL
  129. 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. URL
  130. 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
  131. 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. PDF URL
  132. 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 PDF
  133. 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. PDF DOI

    134. 2014

  134. 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) URL
  135. 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 PDF

    136. 2013

  136. 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) PDF DOI
  137. 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 PDF
  138. 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. PDF URL
  139. 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. DOI PDF
  140. Danushka Bollegala: Deep Learning for Natural Language Processing, Journal of the Japanese Society for Artificial Intelligence, Vol. 29, No. 2, pp. 195-203, 2013. DOI PDF
  141. Danushka Bollegala and Ekaterina Shutova: Metaphor Interpretation using Paraphrases Extracted from the Web, PLoS ONE, Vol. 8, No. 9, e74304, 2013. DOI
  142. 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 PDF
  143. 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 PDF
  144. 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 PDF
  145. 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 PDF

    146. 2012

  146. 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) DOI PDF
  147. 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) DOI PDF
  148. 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) PDF
  149. 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) PDF
  150. 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 PDF
  151. 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 PDF
  152. 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 PDF
  153. 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 PDF
  154. 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 PDF

    2011

  155. 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. URL
  156. 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. PDF DOI
  157. 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. PDF
  158. 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. PDF
  159. 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. URL
  160. 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. PDF URL
  161. 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. PDF URL
  162. 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. PDF URL
  163. 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. URL
  164. 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. PDF URL
  165. 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. PDF URL
  166. 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. PDF URL
  167. 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, 2011. PDF URL
  168. 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 PDF
  169. 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 PDF
  170. 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. PDF URL
  171. 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. PDF URL
  172. 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. PDF URL
  173. 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. PDF URL
  174. 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, Vol. 26, no. 6, pp. 649-656, 2011. URL PDF

    175. 2010

  175. 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. URL DOI
  176. 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. URL
  177. 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) URL
  178. 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) URL
  179. 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) PDF DOI
  180. 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) PDF DOI
  181. 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) PDF DOI
  182. 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) PDF DOI

    183. 2009

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

    187. 2008

  187. 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). PDF DOI
  188. 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) PDF DOI
  189. Danushka Bollegala, Taiki Honma, Yutaka Matsuo and Mitsuru Ishizuka: Mining for Personal Name Aliases on the Web, Proceedings of 17th International World Wide Web Conference (WWW 2008), Vol.II, pp. 1107-1108, Beijing, China (2008.04) PDF DOI
  190. 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) PDF
  191. Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka: A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts, Proceedings of 3rd International Joint Conferences on Natural Language Processing (IJCNLP 2008), Vol.II, pp. 865-870, Hyderabad, India (2008.1) URL

    192. 2007

  192. 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) PDF DOI
  193. 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) URL
  194. 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) PDF

    2006

  195. 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) PDF DOI
  196. 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) PDF DOI
  197. 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) DOI
  198. 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) PDF
    199. DOI
  199. 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) PDF

    200. 2005

  200. 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) DOI