2021

  1. 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.
  2. 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.
  3. 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]
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. James O'Neill and Danushka Bollegala: Semantically-Conditioned Negative Samples for Efficient Contrastive Learning, arXiv preprint, 2021.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 2020

  16. 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. Mandya COLING 2020
  17. Masahiro Kaneko and Danushka Bollegala: Autoencoding Improves Pre-trained Word Embeddings 28th International Conference on Computational Linguistics (COLING), December, 2020. Kaneko COLING 2020
  18. Katie Atkinson, Trevor Bench-Capon and Danushka Bollegala: Explanation in AI and Law: Past, Present and Future Artificial Intelligence, Volume 289, December, 2020. Atkinson 2020
  19. 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. Zhou 2020
  20. 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. xia 2020 DOI xia 2020
  21. 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. xia 2020 xia 2020
  22. 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. xia 2020 xia 2020
  23. Angrosh Mandya, Danushka Bollegala and Frans Coenon: Contextualised Graph Attention for Improved Relation Extraction arXiv pre-print, April, 2020. xia 2020 xia 2020
  24. 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. xia 2020 xia 2020
  25. 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. ecai 2020
  26. 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. ecai 2020 ecai 2020
  27. 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. ecai 2020 ecai 2020
  28. James O'Neill and Danushka Bollegala: Meta-Embedding as Auxiliary Task Regularization Proc. of the 24th European Conference on Artificial Intelligence (ECAI), June, 2020. ecai 2020 ecai 2020
  29. 2019

  30. 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. jurix 2019 icail 2019
  31. 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. nnrr 2020 ecai 2020
  32. 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. pacling 2019 pacling 2019
  33. 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. pacling 2019
  34. 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. pacling 2019 pacling 2019
  35. 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. pacling 2019 pacling 2019
  36. 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. pacling 2019 pacling 2019
  37. Xia Cui and Danushka Bollegala: Self-Adaptation for Unsupervised Domain Adaptation Proc. of the Recent Advances in Natural Language Processing (RANLP), September, 2019. ranlp 2019 ranlp 2019
  38. 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. icail 2019 acl 2019
  39. 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. kdir 2019 kdir 2019
  40. 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. kdh 2019 kdh 2019
  41. 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. kdh 2019 kdh 2019
  42. 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. kdh 2019 kdh 2019
  43. 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. icail 2019 icail 2019
  44. Huda Hakami and Danushka Bollegala: Learning Relation Representations from Word Representations Proc. of the Automatic Knowledge Base Construction Conference (AKBC), May, 2019. icra 2019 akbc 2019
  45. 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. icra 2019 akbc 2019
  46. 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. icra 2019 akbc 2019
  47. 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. icra 2019 icra 2019
  48. 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. xia 2020 xia 2020
  49. 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 Springer 2019
  50. 2018

  51. 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. jurix 2018 jurix 2018
  52. 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. lle 2017 pairdiff 2018
  53. 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. lle 2017 pairdiff 2018
  54. 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. lle 2017 pairdiff 2018
  55. 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. lle 2017 pairdiff 2017
  56. 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. k-way 2017 Cui SEM 2018
  57. 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. k-way 2017 Bollegala SEM 2018
  58. 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. k-way 2017 Bollegala TKDD 2018
  59. 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. k-way 2017 [DOI] Bollegala JMIR 2018
  60. 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. Pivot Journal NAACL Coates 2018
  61. 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. Pivot Journal NAACL Coates 2018
  62. 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. Pivot Journal KER 2018
  63. 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. Joint Embed Joint Emb 2018
  64. 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. Abdullah KI 2018 KI 2018
  65. 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. Mohammed LREC 2018 LREC 2018
  66. 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. Mohammed LREC 2018 LREC 2018
  67. 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. Mohammed LREC 2018 LREC 2018
  68. 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. k-way 2017 see arXiv version of the proofs k-way 2017
  69. 2017

  70. 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). Abdullah ICISSP 2017 Abdullah ICISSP 2017
  71. 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. LinearTrans 2017 Linear Trans 2017
  72. Huda Hakami and Danushka Bollegala: Compositional approaches for Representing Relations Between Words: A Comparative Study, Knowledge-Based Systems, 136C, pp. 172-182, 2017. Huda KBS 2017 Huda KBS 2017
  73. 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) Huda KBS 2017 Xia ECML 2017
  74. 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) Alsheri ICDM 2017
  75. 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) Xia LIDTA 2017 Xia ECML 2017
  76. 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) Xia ECML 2017 Xia ECML 2017
  77. 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. Kajiwara 2017 Kajiwara 2017
  78. Danushka Bollegala: Dynamic Feature Scaling for Online Learning of Binary Classifiers, Knowledge-Based Systems, Vol. 129, pp. 97-195, 2017. [DOI] Bollegala KBS 2017 Bollegala KBS 2017
  79. 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) PACLING 2017 PACLING 2017
  80. 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) PACLING 2017 PACLING 2017
  81. 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) PACLING 2017 ICAIL 2017
  82. 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) ICAIL 2017 ICAIL 2017
  83. 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) CICLing 2017 CICLing 2017
  84. 2016

  85. 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 DaWak 2016 SGAI 2016
  86. 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) AigMining 2016 COMMA 2016
  87. 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) AigMining 2016 argmining-16
  88. 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) DaWak 2016 DaWak 2016
  89. 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) AAAI 2016 AAAI 2016
  90. 2015

  91. 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. NSF [DOI] JNLE 2016
  92. 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 ACL 2015 ACL 2015
  93. 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. IJCAI 2015 IJCAI 2015
  94. 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. NSF [DOI] TKDE 2015
  95. 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) AAAI 2015 ECIR 2015
  96. 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. NSF BJC 2015
  97. 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) AAAI 2015 AAAI 2015
  98. 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] NSF PLOS 2015
  99. 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. NSF [DOI] Nori 2015
  100. 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] NSF Sato 2015
  101. 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. NSF [DOI] Nori 2015b
  102. 2014

  103. 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) ACL 2014
  104. 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 NSF Nori 2014
  105. 2013

  106. 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) NSF
  107. 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) NSF [DOI]
  108. 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) NSF [DOI]
  109. 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. NSF Khan ASE 2013
  110. Danushka Bollegala: Deep Learning for Natural Language Processing, Journal of the Japanese Society for Artificial Intelligence, Vol. 29, No. 2, pp. 195-203, 2013. NSF Bollegala 2014
  111. Danushka Bollegala and Ekaterina Shutova: Metaphor Interpretation using Paraphrases Extracted from the Web, PLoS ONE, Vol. 8, No. 9, e74304, 2013. NSF [DOI] Bollegala PLOS 2014
  112. 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] NSF Yokote JSAI 2013
  113. 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] NSF IPM 2013
  114. 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] NSF TKDE 2013
  115. 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 NSF TKDE 2013b
  116. [Go to the Home Page](https://livnlp.github.io/)