A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation. - Danushka Bollegala; Naoaki Okazaki; Mitsuru Ishizuka (IJCNLP, 2005)

Spinning Multiple Social Networks for Semantic Web. - Yutaka Matsuo; Masahiro Hamasaki; Yoshiyuki Nakamura; Takuichi Nishimura; Kôiti Hasida; Hideaki Takeda 001; Junichiro Mori; Danushka Bollegala; Mitsuru Ishizuka (AAAI, 2006)

Extracting Key Phrases to Disambiguate Personal Names on the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (CICLing, 2006)

Disambiguating Personal Names on the Web Using Automatically Extracted Key Phrases. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (ECAI, 2006)

An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (HLT-NAACL, 2007)

Measuring semantic similarity between words using web search engines. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (WWW, 2007)

WWW sits the SAT: Measuring Relational Similarity on the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (ECAI, 2008)

A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IJCNLP, 2008)

Automatically Extracting Personal Name Aliases from the Web. - Danushka Bollegala; Taiki Honma; Yutaka Matsuo; Mitsuru Ishizuka (GoTAL, 2008)

Mining for personal name aliases on the web. - Danushka Bollegala; Taiki Honma; Yutaka Matsuo; Mitsuru Ishizuka (WWW, 2008)

A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (EMNLP, 2009)

Measuring the similarity between implicit semantic relations using web search engines. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (WSDM, 2009)

Measuring the similarity between implicit semantic relations from the web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (WWW, 2009)

A Sequential Model for Discourse Segmentation. - Hugo Hernault; Danushka Bollegala; Mitsuru Ishizuka (CICLing, 2010)

A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension. - Hugo Hernault; Danushka Bollegala; Mitsuru Ishizuka (EMNLP, 2010)

Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results. - Tomokazu Goto; Nguyen Tuan Duc; Danushka Bollegala; Mitsuru Ishizuka (PRICAI, 2010)

Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations. - Hugo Hernault; Danushka Bollegala; Mitsuru Ishizuka (SIGDIAL Conference, 2010)

Using Relational Similarity between Word Pairs for Latent Relational Search on the Web. - Nguyen Tuan Duc; Danushka Bollegala; Mitsuru Ishizuka (Web Intelligence, 2010)

Relational duality: unsupervised extraction of semantic relations between entities on the web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (WWW, 2010)

A bottom-up approach to sentence ordering for multi-document summarization. - Danushka Bollegala; Naoaki Okazaki; Mitsuru Ishizuka (Inf. Process. Manag., 2010)

Cross-Language Latent Relational Search: Mapping Knowledge across Languages. - Nguyen Tuan Duc; Danushka Bollegala; Mitsuru Ishizuka (AAAI, 2011)

Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification. - Danushka Bollegala; David J. Weir; John Carroll 001 (ACL, 2011)

An adaptive differential evolution algorithm. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2011)

Semi-supervised Discourse Relation Classification with Structural Learning. - Hugo Hernault; Danushka Bollegala; Mitsuru Ishizuka (CICLing (1), 2011)

Using Graph Based Method to Improve Bootstrapping Relation Extraction. - Haibo Li 002; Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (CICLing (2), 2011)

Collaborative exploratory search in real-world context. - Naoki Tani; Danushka Bollegala; Naiwala P. Chandrasiri; Keisuke Okamoto; Kazunari Nawa; Shuhei Iitsuka; Yutaka Matsuo (CIKM, 2011)

RankDE: learning a ranking function for information retrieval using differential evolution. - Danushka Bollegala; Nasimul Noman; Hitoshi Iba (GECCO, 2011)

Differential evolution with self adaptive local search. - Nasimul Noman; Danushka Bollegala; Hitoshi Iba (GECCO, 2011)

Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest. - Nozomi Nori; Danushka Bollegala; Mitsuru Ishizuka (ICWSM, 2011)

Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IJCAI, 2011)

Interest Prediction on Multinomial, Time-Evolving Social Graph. - Nozomi Nori; Danushka Bollegala; Mitsuru Ishizuka (IJCAI, 2011)

From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (WWW (Companion Volume), 2011)

A Supervised Classification Approach for Measuring Relational Similarity between Word Pairs. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IEICE Trans. Inf. Syst., 2011)

Automatic Discovery of Personal Name Aliases from the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IEEE Trans. Knowl. Data Eng., 2011)

A Web Search Engine-Based Approach to Measure Semantic Similarity between Words. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IEEE Trans. Knowl. Data Eng., 2011)

Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. - Nozomi Nori; Danushka Bollegala; Hisashi Kashima (AAAI, 2012)

Similarity Is Not Entailment - Jointly Learning Similarity Transformation for Textual Entailment. - Ken-Ichi Yokote; Danushka Bollegala; Mitsuru Ishizuka (AAAI, 2012)

Probabilistic model building GP with Belief propagation. - Hiroyuki Sato; Yoshihiko Hasegawa; Danushka Bollegala; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2012)

A Context Expansion Method for Supervised Word Sense Disambiguation. - Francisco Tacoa; Danushka Bollegala; Mitsuru Ishizuka (ICSC, 2012)

Automatic Annotation of Ambiguous Personal Names on the Web. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (Comput. Intell., 2012)

Measuring the Degree of Synonymy between Words Using Relational Similarity between Word Pairs as a Proxy. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IEICE Trans. Inf. Syst., 2012)

A preference learning approach to sentence ordering for multi-document summarization. - Danushka Bollegala; Naoaki Okazaki; Mitsuru Ishizuka (Inf. Sci., 2012)

Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus. - Nguyen Tuan Duc; Danushka Bollegala; Mitsuru Ishizuka (ACM Trans. Asian Lang. Inf. Process., 2012)

Learning non-linear ranking functions for web search using probabilistic model building GP. - Hiroyuki Sato; Danushka Bollegala; Yoshihiko Hasegawa; Hitoshi Iba (IEEE Congress on Evolutionary Computation, 2013)

Mining for Analogous Tuples from an Entity-Relation Graph. - Danushka Bollegala; Mitsuru Kusumoto; Yuichi Yoshida; Ken-ichi Kawarabayashi (IJCAI, 2013)

Multi-tweet Summarization of Real-Time Events. - Muhammad Asif Hossain Khan; Danushka Bollegala; Guangwen Liu; Kaoru Sezaki (SocialCom, 2013)

Improving relational similarity measurement using symmetries in proportional word analogies. - Danushka Bollegala; Tomokazu Goto; Nguyen Tuan Duc; Mitsuru Ishizuka (Inf. Process. Manag., 2013)

Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping. - Danushka Bollegala; Yutaka Matsuo; Mitsuru Ishizuka (IEEE Trans. Knowl. Data Eng., 2013)

Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus. - Danushka Bollegala; David J. Weir; John Carroll 001 (IEEE Trans. Knowl. Data Eng., 2013)

A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. - Danushka Bollegala; Naoaki Okazaki; Mitsuru Ishizuka (Multi-source, Multilingual Information Extraction and Summarization, 2013)

Learning to Predict Distributions of Words Across Domains. - Danushka Bollegala; David J. Weir; John Carroll 001 (ACL (1), 2014)

Learning Word Representations from Relational Graphs. - Danushka Bollegala; Takanori Maehara; Yuichi Yoshida; Ken-ichi Kawarabayashi (AAAI, 2015)

Unsupervised Cross-Domain Word Representation Learning. - Danushka Bollegala; Takanori Maehara; Ken-ichi Kawarabayashi (ACL (1), 2015)

A Discourse Search Engine Based on Rhetorical Structure Theory. - Pascal Kuyten; Danushka Bollegala; Bernd Hollerit; Helmut Prendinger; Kiyoharu Aizawa (ECIR, 2015)

Embedding Semantic Relations into Word Representations. - Danushka Bollegala; Takanori Maehara; Ken-ichi Kawarabayashi (IJCAI, 2015)

Prediction of User Ratings of Oral Presentations using Label Relations. - Toshihiko Yamasaki; Yusuke Fukushima; Ryosuke Furuta; Litian Sun; Kiyoharu Aizawa; Danushka Bollegala (ASM@ACM Multimedia, 2015)

Improved sampling using loopy belief propagation for probabilistic model building genetic programming. - Hiroyuki Sato; Yoshihiko Hasegawa; Danushka Bollegala; Hitoshi Iba (Swarm Evol. Comput., 2015)

Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. - Danushka Bollegala; Mohammed Alsuhaibani; Takanori Maehara; Ken-ichi Kawarabayashi (AAAI, 2016)

Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews. - Pavithra Rajendran; Danushka Bollegala; Simon Parsons (ArgMining@ACL, 2016)

Assessing Weight of Opinion by Aggregating Coalitions of Arguments. - Pavithra Rajendran; Danushka Bollegala; Simon Parsons (COMMA, 2016)

Keyboard Usage Authentication Using Time Series Analysis. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (DaWaK, 2016)

Towards Keystroke Continuous Authentication Using Time Series Analytics. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (SGAI Conf., 2016)

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. - Danushka Bollegala; Tingting Mu; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2016)

Classifier-Based Pattern Selection Approach for Relation Instance Extraction. - Angrosh Mandya; Danushka Bollegala; Frans Coenen; Katie Atkinson (CICLing (1), 2017)

Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (IC3K, 2017)

Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (KDIR, 2017)

CLIEL: context-based information extraction from commercial law documents. - Matias Garcia-Constantino; Katie Atkinson; Danushka Bollegala; Karl Chapman; Frans Coenen; Claire Roberts; Katy Robson (ICAIL, 2017)

Spectral Keyboard Streams: Towards Effective and Continuous Authentication. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (ICDM Workshops, 2017)

Discovering Representative Space for Relational Similarity Measurement. - Huda Hakami; Angrosh Mandya; Danushka Bollegala (PACLING, 2017)

Frame-Based Semantic Patterns for Relation Extraction. - Angrosh Mandya; Danushka Bollegala; Frans Coenen; Katie Atkinson (PACLING, 2017)

Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. - Xia Cui 001; Frans Coenen; Danushka Bollegala (LIDTA@PKDD/ECML, 2017)

TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. - Xia Cui 001; Frans Coenen; Danushka Bollegala (ECML/PKDD (2), 2017)

An Optimality Proof for the PairDiff operator for Representing Relations between Words. - Huda Hakami; Kohei Hayashi; Danushka Bollegala (CoRR, 2017)

Dynamic feature scaling for online learning of binary classifiers. - Danushka Bollegala (Knowl. Based Syst., 2017)

Compositional approaches for representing relations between words: A comparative study. - Huda Hakami; Danushka Bollegala (Knowl. Based Syst., 2017)

A classification approach for detecting cross-lingual biomedical term translations. - Huda Hakami; Danushka Bollegala (Nat. Lang. Eng., 2017)

Using k-Way Co-Occurrences for Learning Word Embeddings. - Danushka Bollegala; Yuichi Yoshida; Ken-ichi Kawarabayashi (AAAI, 2018)

Learning Word Meta-Embeddings by Autoencoding. - Danushka Bollegala; Cong Bao (COLING, 2018)

Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. - Huda Hakami; Kohei Hayashi; Danushka Bollegala (COLING, 2018)

An Empirical Study on Fine-Grained Named Entity Recognition. - Khai Mai; Thai-Hoang Pham; Minh Trung Nguyen; Nguyen Tuan Duc; Danushka Bollegala; Ryohei Sasano; Satoshi Sekine (COLING, 2018)

Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (ICISSP, 2018)

Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. - Danushka Bollegala; Kohei Hayashi; Ken-ichi Kawarabayashi (IJCAI, 2018)

Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. - Robert Bevan; Alessandro Torrisi; Katie Atkinson; Danushka Bollegala; Frans Coenen (JURIX, 2018)

Joint Learning of Sense and Word Embeddings. - Mohammed Alsuhaibani; Danushka Bollegala (LREC, 2018)

A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. - Angrosh Mandya; Danushka Bollegala; Frans Coenen; Katie Atkinson (LREC, 2018)

Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. - Pavithra Rajendran; Danushka Bollegala; Simon Parsons (LREC, 2018)

Graph Matching Based Semantic Search Engine. - Mamdouh Farouk; Mitsuru Ishizuka; Danushka Bollegala (MTSR, 2018)

Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. - Joshua Coates; Danushka Bollegala (NAACL-HLT (2), 2018)

Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset. - Pavithra Rajendran; Danushka Bollegala; Simon Parsons (NAACL-HLT (2), 2018)

Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition. - Xia Cui 001; Sadamori Kojaku; Naoki Masuda; Danushka Bollegala (*SEM@NAACL-HLT, 2018)

Learning Neural Word Salience Scores. - Krasen Samardzhiev; Andrew Gargett; Danushka Bollegala (*SEM@NAACL-HLT, 2018)

Angular-Based Word Meta-Embedding Learning. - James O'Neill; Danushka Bollegala (CoRR, 2018)

Semi-Supervised Multi-Task Word Embeddings. - James O'Neill; Danushka Bollegala (CoRR, 2018)

Curriculum-Based Neighborhood Sampling For Sequence Prediction. - James O'Neill; Danushka Bollegala (CoRR, 2018)

Analysing Dropout and Compounding Errors in Neural Language Models. - James O'Neill; Danushka Bollegala (CoRR, 2018)

A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification. - Xia Cui 001; Noor Al-Bazzaz; Danushka Bollegala; Frans Coenen (Knowl. Eng. Rev., 2018)

Iterative Keystroke Continuous Authentication: A Time Series Based Approach. - Abdullah Alshehri 001; Frans Coenen; Danushka Bollegala (Künstliche Intell., 2018)

ClassiNet - Predicting Missing Features for Short-Text Classification. - Danushka Bollegala; Vincent Atanasov; Takanori Maehara; Ken-ichi Kawarabayashi (ACM Trans. Knowl. Discov. Data, 2018)

Gender-preserving Debiasing for Pre-trained Word Embeddings. - Masahiro Kaneko; Danushka Bollegala (ACL (1), 2019)

Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy. - Mohammed Alsuhaibani; Takanori Maehara; Danushka Bollegala (AKBC, 2019)

Learning Relation Representations from Word Representations. - Huda Hakami; Danushka Bollegala (AKBC, 2019)

Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. - Angrosh Mandya; Danushka Bollegala; Frans Coenen; Katie Atkinson (AKBC, 2019)

Unsupervised Evaluation of Human Translation Quality. - Yi Zhou 019; Danushka Bollegala (KDIR, 2019)

Predicting the Quality of Translations Without an Oracle. - Yi Zhou 019; Danushka Bollegala (IC3K, 2019)

Automated Bundle Pagination Using Machine Learning. - Alessandro Torrisi; Robert Bevan; Katie Atkinson; Danushka Bollegala; Frans Coenen (ICAIL, 2019)

"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception. - Jet-Tsyn Lee; Danushka Bollegala; Shan Luo 001 (ICRA, 2019)

Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine. - Micheal Abaho; Danushka Bollegala; Paula R. Williamson; Susanna Dodd (KDH@IJCAI, 2019)

Extracting Supporting Evidence from Medical Negligence Claim Texts. - Robert Bevan; Alessandro Torrisi; Danushka Bollegala; Frans Coenen; Katie Atkinson (KDH@IJCAI, 2019)

Tick Parasitism Classification from Noisy Medical Records. - James O'Neill; Danushka Bollegala; Peter-J. Noble; Alan D. Radford (KDH@IJCAI, 2019)

Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. - Alessandro Torrisi; Robert Bevan; Katie Atkinson; Danushka Bollegala; Frans Coenen (JURIX, 2019)

Learning to Compose Relational Embeddings in Knowledge Graphs. - Wenye Chen; Huda Hakami; Danushka Bollegala (PACLING, 2019)

Context-Guided Self-supervised Relation Embeddings. - Huda Hakami; Danushka Bollegala (PACLING, 2019)

Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering. - Angrosh Mandya; Danushka Bollegala; Frans Coenen (PACLING, 2019)

Learning to Evaluate Neural Language Models. - James O'Neill; Danushka Bollegala (PACLING, 2019)

A Pilot Study on Argument Simplification in Stance-Based Opinions. - Pavithra Rajendran; Danushka Bollegala; Simon Parsons (PACLING, 2019)

Self-Adaptation for Unsupervised Domain Adaptation. - Xia Cui 001; Danushka Bollegala (RANLP, 2019)

Error-Correcting Neural Sequence Prediction. - James O'Neill; Danushka Bollegala (CoRR, 2019)

"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception. - Jet-Tsyn Lee; Danushka Bollegala; Shan Luo 001 (CoRR, 2019)

Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition. - Thai-Hoang Pham; Khai Mai; Minh Trung Nguyen; Nguyen Tuan Duc; Danushka Bollegala; Ryohei Sasano; Satoshi Sekine (CoRR, 2019)

Transfer Reward Learning for Policy Gradient-Based Text Generation. - James O'Neill; Danushka Bollegala (CoRR, 2019)

Anonymising Queries by Semantic Decomposition. - Danushka Bollegala; Tomoya Machide; Ken-ichi Kawarabayashi (CoRR, 2019)

Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA. - Mikhail Fain; Andrey Ponikar; Ryan Fox; Danushka Bollegala (CoRR, 2019)

Tree-Structured Neural Topic Model. - Masaru Isonuma; Junichiro Mori; Danushka Bollegala; Ichiro Sakata (ACL, 2020)

Autoencoding Improves Pre-trained Word Embeddings. - Masahiro Kaneko; Danushka Bollegala (COLING, 2020)

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. - Angrosh Mandya; Danushka Bollegala; Frans Coenen (COLING, 2020)

Meta-Embedding as Auxiliary Task Regularization. - James O'Neill; Danushka Bollegala (ECAI, 2020)

Multi-Source Attention for Unsupervised Domain Adaptation. - Xia Cui 001; Danushka Bollegala (AACL/IJCNLP, 2020)

Spatio-temporal Attention Model for Tactile Texture Recognition. - Guanqun Cao; Yi Zhou 019; Danushka Bollegala; Shan Luo 001 (IROS, 2020)

Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. - Danushka Bollegala; Ryuichi Kiryo; Kosuke Tsujino; Haruki Yukawa (LREC, 2020)

Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering. - Angrosh Mandya; James O'Neill; Danushka Bollegala; Frans Coenen (LREC, 2020)

Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. - Iqra Muhammad; Danushka Bollegala; Frans Coenen; Carrol Gamble; Anna Kearney; Paula Williamson (SGAI Conf., 2020)

Explanation in AI and law: Past, present and future. - Katie Atkinson; Trevor J. M. Bench-Capon; Danushka Bollegala (Artif. Intell., 2020)

Contextualised Graph Attention for Improved Relation Extraction. - Angrosh Mandya; Danushka Bollegala; Frans Coenen (CoRR, 2020)

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents. - Asir Saeed; Khai Mai; Pham Minh; Nguyen Tuan Duc; Danushka Bollegala (CoRR, 2020)

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

Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. - Iqra Muhammad; Danushka Bollegala; Frans Coenen; Carrol Gamble; Anna Kearney; Paula Williamson (DaWaK, 2021)

RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. - Danushka Bollegala; Huda Hakami; Yuichi Yoshida; Ken-ichi Kawarabayashi (EACL, 2021)

Dictionary-based Debiasing of Pre-trained Word Embeddings. - Masahiro Kaneko; Danushka Bollegala (EACL, 2021)

Debiasing Pre-trained Contextualised Embeddings. - Masahiro Kaneko; Danushka Bollegala (EACL, 2021)

Detect and Classify - Joint Span Detection and Classification for Health Outcomes. - Micheal Abaho; Danushka Bollegala; Paula Williamson; Susanna Dodd (EMNLP (1), 2021)

I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review. - James O'Neill; Polina Rozenshtein; Ryuichi Kiryo; Motoko Kubota; Danushka Bollegala (EMNLP (1), 2021)

Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. - Danushka Bollegala; Yi Zhou 019 (PACLIC, 2021)

Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. - Mikhail Fain; Niall Twomey; Danushka Bollegala (SIGIR, 2021)

k-Neighbor Based Curriculum Sampling for Sequence Prediction. - James O'Neill; Danushka Bollegala (CoRR, 2021)

Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. - James O'Neill; Danushka Bollegala (CoRR, 2021)

I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews. - James O'Neill; Polina Rozenshtein; Ryuichi Kiryo; Motoko Kubota; Danushka Bollegala (CoRR, 2021)

Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. - Masaru Isonuma; Junichiro Mori; Danushka Bollegala; Ichiro Sakata (Trans. Assoc. Comput. Linguistics, 2021)

Unmasking the Mask - Evaluating Social Biases in Masked Language Models. - Masahiro Kaneko; Danushka Bollegala (AAAI, 2022)

Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings. - Yi Zhou 019; Masahiro Kaneko; Danushka Bollegala (ACL (1), 2022)

Position-based Prompting for Health Outcome Generation. - Micheal Abaho; Danushka Bollegala; Paula Williamson; Susanna Dodd (BioNLP@ACL, 2022)

Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks. - Masahiro Kaneko; Danushka Bollegala; Naoaki Okazaki (COLING, 2022)

Gender Bias in Meta-Embeddings. - Masahiro Kaneko; Danushka Bollegala; Naoaki Okazaki (EMNLP (Findings), 2022)

On the Curious Case of l2 norm of Sense Embeddings. - Yi Zhou 019; Danushka Bollegala (EMNLP (Findings), 2022)

Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. - Danushka Bollegala (IJCAI, 2022)

A Survey on Word Meta-Embedding Learning. - Danushka Bollegala; James O'Neill (IJCAI, 2022)

Query Obfuscation by Semantic Decomposition. - Danushka Bollegala; Tomoya Machide; Ken-ichi Kawarabayashi (LREC, 2022)

Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. - Keigo Takahashi; Danushka Bollegala (LREC, 2022)

Learning to Borrow- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion. - Huda Hakami; Mona Hakami; Angrosh Mandya; Danushka Bollegala (NAACL-HLT, 2022)

Gender Bias in Masked Language Models for Multiple Languages. - Masahiro Kaneko; Aizhan Imankulova; Danushka Bollegala; Naoaki Okazaki (NAACL-HLT, 2022)

Assessment of contextualised representations in detecting outcome phrases in clinical trials. - Micheal Abaho; Danushka Bollegala; Paula R. Williamson; Susanna Dodd (CoRR, 2022)

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

On the Curious Case of 𝓁2 norm of Sense Embeddings. - Yi Zhou 019; Danushka Bollegala (CoRR, 2022)

Improvement of intervention information detection for automated clinical literature screening during systematic review. - Tadashi Tsubota; Danushka Bollegala; Yang Zhao; Yingzi Jin; Tomotake Kozu (J. Biomed. Informatics, 2022)

Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. - Taichi Aida; Danushka Bollegala (ACL (Findings), 2023)

Together We Make Sense-Learning Meta-Sense Embeddings. - Haochen Luo; Yi Zhou 019; Danushka Bollegala (ACL (Findings), 2023)

Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. - Xiaohang Tang; Yi Zhou 019; Danushka Bollegala (ACL (1), 2023)

Solving Cosine Similarity Underestimation between High Frequency Words by ell₂ Norm Discounting. - Saeth Wannasuphoprasit; Yi Zhou 019; Danushka Bollegala (ACL (Findings), 2023)

Evaluating the Robustness of Discrete Prompts. - Yoichi Ishibashi; Danushka Bollegala; Katsuhito Sudoh; Satoshi Nakamura 001 (EACL, 2023)

Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. - Masahiro Kaneko; Danushka Bollegala; Naoaki Okazaki (EACL, 2023)

Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. - Taichi Aida; Danushka Bollegala (EMNLP (Findings), 2023)

A Word Sense Distribution-based approach for Semantic Change Prediction. - Xiaohang Tang; Yi Zhou 019; Taichi Aida; Procheta Sen; Danushka Bollegala (EMNLP (Findings), 2023)

A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. - Yi Zhou 019; José Camacho-Collados; Danushka Bollegala (EMNLP, 2023)

Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. - Guanqun Cao; Jiaqi Jiang; Ningtao Mao; Danushka Bollegala; Min Li 003; Shan Luo 001 (ICRA, 2023)

A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings. - Danushka Bollegala; Shuichi Otake; Tomoya Machide; Ken-ichi Kawarabayashi (IJCNLP (Findings), 2023)

The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. - Masahiro Kaneko; Danushka Bollegala; Naoaki Okazaki (IJCNLP (2), 2023)

Learning to Predict Concept Ordering for Common Sense Generation. - Tianhui Zhang; Danushka Bollegala; Bei Peng (IJCNLP (2), 2023)

Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders. - Guanqun Cao; Jiaqi Jiang; Danushka Bollegala; Shan Luo 001 (IROS, 2023)

Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting. - Saeth Wannasuphoprasit; Yi Zhou 019; Danushka Bollegala (CoRR, 2023)

Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context. - Samantha Durdy; Michael W. Gaultois; Vladimir V. Gusev; Danushka Bollegala; Matthew J. Rosseinsky (CoRR, 2023)

Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings. - Haochen Luo; Yi Zhou 019; Danushka Bollegala (CoRR, 2023)

In-Contextual Bias Suppression for Large Language Models. - Daisuke Oba; Masahiro Kaneko; Danushka Bollegala (CoRR, 2023)

Can Word Sense Distribution Detect Semantic Changes of Words? - Xiaohang Tang; Yi Zhou 019; Taichi Aida; Procheta Sen; Danushka Bollegala (CoRR, 2023)

Report on the 1st Symposium on NLP for Social: Good (NSG 2023). - Procheta Sen; Tulika Saha; Danushka Bollegala (SIGIR Forum, 2023)

A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. - Taichi Aida; Danushka Bollegala (ACL (Findings), 2024)

Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures. - Junjie Chen; Xiangheng He; Danushka Bollegala; Yusuke Miyao (ACL (Findings), 2024)

Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. - Gaifan Zhang; Yi Zhou 019; Danushka Bollegala (LREC/COLING, 2024)

In-Contextual Gender Bias Suppression for Large Language Models. - Daisuke Oba; Masahiro Kaneko; Danushka Bollegala (EACL (Findings), 2024)

Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning. - Tianhui Zhang; Bei Peng; Danushka Bollegala (EMNLP (Findings), 2024)

Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models. - Yi Zhou 019; Danushka Bollegala; José Camacho-Collados (EMNLP, 2024)

Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER. - Micheal Abaho; Danushka Bollegala; Gary Leeming; Dan W. Joyce; Iain E. Buchan (NAACL-HLT, 2024)

Report on the 2nd Symposium on NLP for Social Good. - Procheta Sen; Tulika Saha; Danushka Bollegala (NSG, 2024)

The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing. - Masahiro Kaneko; Danushka Bollegala; Timothy Baldwin (CoRR, 2024)

Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting. - Masahiro Kaneko; Danushka Bollegala; Naoaki Okazaki; Timothy Baldwin (CoRR, 2024)

Eagle: Ethical Dataset Given from Real Interactions. - Masahiro Kaneko; Danushka Bollegala; Timothy Baldwin (CoRR, 2024)

Constituents Correspond to Word Sequence Patterns among Sentences with Equivalent Predicate-Argument Structures: Unsupervised Constituency Parsing by Span Matching. - Junjie Chen; Xiangheng He; Danushka Bollegala; Yusuke Miyao (CoRR, 2024)

Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes. - Taichi Aida; Danushka Bollegala (CoRR, 2024)

Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph. - Yang Zhao; Danushka Bollegala; Shunsuke Hirose; Yingzi Jin; Tomotake Kozu (J. Biomed. Informatics, 2024)

Multimodal zero-shot learning for tactile texture recognition. - Guanqun Cao; Jiaqi Jiang; Danushka Bollegala; Min Li 003; Shan Luo 001 (Robotics Auton. Syst., 2024)

Evaluating the Evaluation of Diversity in Commonsense Generation. - Tianhui Zhang; Bei Peng; Danushka Bollegala (ACL (1), 2025)

Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes. - Taichi Aida; Danushka Bollegala (COLING, 2025)

The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing. - Masahiro Kaneko; Danushka Bollegala; Timothy Baldwin (COLING, 2025)

Improving Unsupervised Constituency Parsing via Maximizing Semantic Information. - Junjie Chen; Xiangheng He; Yusuke Miyao; Danushka Bollegala (ICLR, 2025)

Evaluating the Effect of Retrieval Augmentation on Social Biases. - Tianhui Zhang; Yi Zhou 019; Danushka Bollegala (CoRR, 2025)

CASE - Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement. - Gaifan Zhang; Yi Zhou 019; Danushka Bollegala (CoRR, 2025)

A Metric Differential Privacy Mechanism for Sentence Embeddings. - Danushka Bollegala; Shuichi Otake; Tomoya Machide; Ken-ichi Kawarabayashi (ACM Trans. Priv. Secur., 2025)