Danushka Bollegala

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Learning Word Representations from Relational Graphs pdf

Ken-ichi Kawarabayashi, Danushka Bollegala, Yuichi Yoshida, 2014, AAAI.

Measuring the similarity between implicit semantic relations from the web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2009, WWW '09.

“Touching to See” and “Seeing to Feel”: Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception

Danushka Bollegala, Shan Luo, Jet-Tsyn Lee, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Learning Causality Patterns for Detecting Adverse Drug Reactions from Social Media

M. Pirmohamed, Danushka Bollegala, R. Sloane, 2018 .

Metaphor Interpretation Using Paraphrases Extracted from the Web

Danushka Bollegala, Ekaterina Shutova, 2013, PloS one.

Semantic Decomposition

Danushka Bollegala, T. Machide, 2019 .

Social media and pharmacovigilance: A review of the opportunities and challenges.

Danushka Bollegala, Munir Pirmohamed, Orod Osanlou, 2015, British journal of clinical pharmacology.

Identifying Argument based Relation Properties in Opinions

Danushka Bollegala, Rajendran, 2017 .

Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach

Danushka Bollegala, Hisashi Kashima, Nozomi Nori, 2012, AAAI.

Dropping Networks for Transfer Learning

J. Ó. Neill, Danushka Bollegala, 2018 .

A Machine Learning Approach To Sentence Ordering For Multi-Document Summarization and its Evaluation

Danushka Tarupathi Bollegala, Danushka Bollegala, 2005 .

Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings

Danushka Bollegala, 2022, IJCAI.

A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization

M. Ishizuka, Naoaki Okazaki, Danushka Bollegala, 2006, ACL.

Explanation in AI and law: Past, present and future

Trevor J. M. Bench-Capon, Danushka Bollegala, Katie Atkinson, 2020, Artif. Intell..

A Relational Model of Semantic Similarity

Y. Matsuo, M. Ishizuka, Danushka Bollegala, 2009 .

DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

D. Kell, Danushka Bollegala, S. O’Hagan, 2020, Journal of Cheminformatics.

Relation Extraction using Relational Duality

M. Ishizuka, Danushka Bollegala, 2010 .

INTERNATIONAL JOURNAL OF COMPUTER APPLICATION ISSUE 2, VOLUME 3 (JUNE 2012) ISSN: 2250-1797

Y. Matsuo, M. Ishizuka, Danushka Bollegala, 2012 .

Learning to Compose Relational Embeddings in Knowledge Graphs

Danushka Bollegala, Huda Hakami, Wenye Chen, 2019, PACLING.

Learning Relation Representations from Word Representations

Danushka Bollegala, Huda Hakami, Danushka Bollegala, 2019, AKBC.

Automated Bundle Pagination Using Machine Learning

Danushka Bollegala, Katie Atkinson, Frans Coenen, 2019, ICAIL.

Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents pdf

Danushka Bollegala, Pham Quang Nhat Minh, Nguyen Tuan Duc, 2020, ArXiv.

Error-Correcting Neural Sequence Prediction pdf

Danushka Bollegala, James O'Neill, Danushka Bollegala, 2019, ArXiv.

Learning non-linear ranking functions for web search using probabilistic model building GP

Danushka Bollegala, Hitoshi Iba, Hiroyuki Sato, 2013, 2013 IEEE Congress on Evolutionary Computation.

Automatic Discovery of Personal Name Aliases from the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2011, IEEE Transactions on Knowledge and Data Engineering.

A Study on Attributional and Relational Similarity between Word Pairs on the Web

Danushka Tarupathi Bollegala, Danushka Bollegala, 2009 .

Automatically Extracting Personal Name Aliases from the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2008, GoTAL.

Identification of Personal Name Aliases on the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2008 .

An Empirical Study on Fine-Grained Named Entity Recognition

Danushka Bollegala, Satoshi Sekine, Ryohei Sasano, 2018, COLING.

Spatio-temporal Attention Model for Tactile Texture Recognition pdf

Danushka Bollegala, Yi Zhou, Shan Luo, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Measuring the Degree of Synonymy between Words Using Relational Similarity between Word Pairs as a Proxy

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2012, IEICE Trans. Inf. Syst..

A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2011, IEEE Transactions on Knowledge and Data Engineering.

Extracting Supporting Evidence from Medical Negligence Claim Texts

Danushka Bollegala, Katie Atkinson, Frans Coenen, 2019, KHD@IJCAI.

ClassiNet -- Predicting Missing Features for Short-Text Classification

Ken-ichi Kawarabayashi, Danushka Bollegala, Takanori Maehara, 2018, ACM Trans. Knowl. Discov. Data.

Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus

Danushka Bollegala, David J. Weir, John A. Carroll, 2013, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised Discourse Relation Classification with Structural Learning

Danushka Bollegala, Mitsuru Ishizuka, Hugo Hernault, 2011, CICLing.

Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA

Danushka Bollegala, Mikhail Fain, Andrey Ponikar, 2019, ArXiv.

Dynamic feature scaling for online learning of binary classifiers

Danushka Bollegala, Danushka Bollegala, 2014, Knowl. Based Syst..

Cross-Language Latent Relational Search: Mapping Knowledge across Languages

Danushka Bollegala, Mitsuru Ishizuka, Nguyen Tuan Duc, 2011, AAAI.

Relational duality: unsupervised extraction of semantic relations between entities on the web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2010, WWW '10.

Towards Keystroke Continuous Authentication Using Time Series Analytics

Danushka Bollegala, Frans Coenen, Abdullah Alshehri, 2016, SGAI Conf..

Keyboard Usage Authentication Using Time Series Analysis

Danushka Bollegala, Frans Coenen, Abdullah Alshehri, 2016, DaWaK.

Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering

Danushka Bollegala, Frans Coenen, Angrosh Mandya, 2020, LREC.

Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion

Danushka Bollegala, Angrosh Mandya, Huda Hakami, 2022, NAACL.

TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation

Danushka Bollegala, Frans Coenen, Xia Cui, 2017, ECML/PKDD.

Measuring semantic similarity between words using web search engines

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2007, WWW '07.

Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies

Danushka Bollegala, Frans Coenen, Xia Cui, 2017, LIDTA@PKDD/ECML.

A Discourse Search Engine Based on Rhetorical Structure Theory

Kiyoharu Aizawa, Danushka Bollegala, Helmut Prendinger, 2015, ECIR.

Multi-Source Attention for Unsupervised Domain Adaptation

Danushka Bollegala, Xia Cui, Danushka Bollegala, 2020, AACL.

Interest Prediction on Multinomial, Time-Evolving Social Graph

Danushka Bollegala, Mitsuru Ishizuka, Nozomi Nori, 2011, IJCAI.

A Cross-Lingual Similarity Measure for Detecting Biomedical Term Translations

Danushka Bollegala, Neil R. Smalheiser, Sophia Ananiadou, 2015, PloS one.

Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience

Danushka Bollegala, Frans Coenen, Carrol Gamble, 2020, SGAI Conf..

Spinning Multiple Social Networks for Semantic Web

Kôiti Hasida, Danushka Bollegala, Hideaki Takeda, 2006, AAAI.

Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition

Danushka Bollegala, Xia Cui, Naoki Masuda, 2018, *SEMEVAL.

Unsupervised Cross-Domain Word Representation Learning

Ken-ichi Kawarabayashi, Danushka Bollegala, Takanori Maehara, 2015, ACL.

Learning to Predict Distributions of Words Across Domains

Danushka Bollegala, David J. Weir, John A. Carroll, 2014, ACL.

Self-Adaptation for Unsupervised Domain Adaptation

Danushka Bollegala, Xia Cui, Danushka Bollegala, 2019, RANLP.

A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification

Danushka Bollegala, Xia Cui, Frans Coenen, 2018, The Knowledge Engineering Review.

Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification

Danushka Bollegala, David J. Weir, John A. Carroll, 2011, ACL.

A Supervised Classification Approach for Measuring Relational Similarity between Word Pairs

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2011, IEICE Trans. Inf. Syst..

WWW sits the SAT: Measuring Relational Similarity on the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2008, ECAI.

An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2007, NAACL.

IMPROVING COHERENCE IN MULI-DOCUMENT SUMMARIZATION THROUGH PROPER ORDERING OF SENTENCES

Danushka Bollegala, Danushka Bollegala, 2007 .

A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization

Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka, 2006, ACL.

WebSim: A Web-based Semantic Similarity Measure

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2007 .

A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization

Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka, 2006, Annual Meeting of the Association for Computational Linguistics.

A preference learning approach to sentence ordering for multi-document summarization

Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka, 2012, Inf. Sci..

Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings

Danushka Bollegala, Taichi Aida, 2023, ArXiv.

Joint Word Representation Learning Using a Corpus and a Semantic Lexicon

Ken-ichi Kawarabayashi, Danushka Bollegala, Takanori Maehara, 2015, AAAI.

Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine

Danushka Bollegala, Micheal Abaho, Paula Williamson, 2019, KHD@IJCAI.

Gender-preserving Debiasing for Pre-trained Word Embeddings

Danushka Bollegala, Masahiro Kaneko, Danushka Bollegala, 2019, ACL.

Debiasing Pre-trained Contextualised Embeddings

Danushka Bollegala, Masahiro Kaneko, Danushka Bollegala, 2021, EACL.

DeepGraphMol, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

Danushka Bollegala, Douglas B. Kell, Yash Khemchandani, 2020, bioRxiv.

Tree-Structured Neural Topic Model

Danushka Bollegala, Ichiro Sakata, Masaru Isonuma, 2020, ACL.

Dictionary-based Debiasing of Pre-trained Word Embeddings

Danushka Bollegala, Masahiro Kaneko, Danushka Bollegala, 2021, EACL.

Prediction of User Ratings of Oral Presentations using Label Relations

Kiyoharu Aizawa, Danushka Bollegala, Toshihiko Yamasaki, 2015, ASM@ACM Multimedia.

Jointly learning word embeddings using a corpus and a knowledge base

Danushka Bollegala, Takanori Maehara, Mohammed Alsuhaibani, 2018, PloS one.

Analysing Dropout and Compounding Errors in Neural Language Models pdf

Danushka Bollegala, James O'Neill, Danushka Bollegala, 2018, ArXiv.

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings

Danushka Bollegala, Tingting Mu, John Yannis Goulermas, 2016, IEEE Transactions on Knowledge and Data Engineering.

Multi-tweet Summarization of Real-Time Events

Danushka Bollegala, Kaoru Sezaki, Guangwen Liu, 2013, 2013 International Conference on Social Computing.

Autoencoding Improves Pre-trained Word Embeddings

Danushka Bollegala, Masahiro Kaneko, Danushka Bollegala, 2020, COLING.

Mining for Analogous Tuples from an Entity-Relation Graph

Ken-ichi Kawarabayashi, Danushka Bollegala, Yuichi Yoshida, 2013, IJCAI.

Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy pdf

Danushka Bollegala, Yi Zhou, Danushka Bollegala, 2021, PACLIC.

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

Danushka Bollegala, Munir Pirmohamed, Simon Maskell, 2018, JMIR public health and surveillance.

Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications

Danushka Bollegala, M. Alsuhaibani, 2021, Computational and mathematical methods in medicine.

Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy

Danushka Bollegala, Takanori Maehara, Mohammed Alsuhaibani, 2019, AKBC.

Danushka Bollegala, Mitsuru Ishizuka, Ken-ichi Yokote, 2021, AAAI.

Simultaneous Higher-order Relation Prediction via Collective Incidence Matrix Embedding

Danushka Bollegala, Hisashi Kashima, Nozomi Nori, 2015 .

An iterative approach for the global estimation of sentence similarity

Yuichi Yoshida, Danushka Bollegala, Tomoyuki Kajiwara, 2017, PloS one.

Semantically-Conditioned Negative Samples for Efficient Contrastive Learning pdf

Danushka Bollegala, James O' Neill, J. Ó. Neill, 2021, ArXiv.

Learning to Evaluate Neural Language Models

Danushka Bollegala, James O'Neill, Danushka Bollegala, 2019, PACLING.

RankDE: learning a ranking function for information retrieval using differential evolution

Danushka Bollegala, Hitoshi Iba, Nasimul Noman, 2011, GECCO '11.

A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension

Danushka Bollegala, Mitsuru Ishizuka, Hugo Hernault, 2010, EMNLP.

A Sequential Model for Discourse Segmentation

Danushka Bollegala, Mitsuru Ishizuka, Hugo Hernault, 2010, CICLing.

Learning to Predict Concept Ordering for Common Sense Generation

Danushka Bollegala, Tianhui Zhang, Bei Peng, 2023, ArXiv.

A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings

K. Kawarabayashi, Danushka Bollegala, T. Machide, 2023, ArXiv.

RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding

Ken-ichi Kawarabayashi, Danushka Bollegala, Yuichi Yoshida, 2021, EACL.

Interest Prediction via Users' Actions on Social Media

Danushka Bollegala, Mitsuru Ishizuka, Nozomi Nori, 2015 .

Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach

M. Pirmohamed, Danushka Bollegala, R. Sloane, 2018, JMIR Public Health and Surveillance.

A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web

Danushka Bollegala, Mitsuru Ishizuka, Yutaka Matsuo, 2009, EMNLP.

Using Graph Based Method to Improve Bootstrapping Relation Extraction

Danushka Bollegala, Mitsuru Ishizuka, Haibo Li, 2011, CICLing.

Probabilistic model building GP with Belief propagation

Danushka Bollegala, Hitoshi Iba, Hiroyuki Sato, 2012, 2012 IEEE Congress on Evolutionary Computation.

Spatio-temporal Attention Model for Tactile Texture Recognition

Shan Luo, Danushka Bollegala, G. Cao, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Iterative Keystroke Continuous Authentication: A Time Series Based Approach

Frans Coenen, Danushka Bollegala, A. Alshehri, 2018, KI - Künstliche Intelligenz.

k-Neighbor Based Curriculum Sampling for Sequence Prediction

Danushka Bollegala, James O' Neill, J. Ó. Neill, 2021, ArXiv.

Classifier-Based Pattern Selection Approach for Relation Instance Extraction

Danushka Bollegala, Frans Coenen, Katie Atkinson, 2017, CICLing.

Learning Word Meta-Embeddings by Autoencoding

Danushka Bollegala, Cong Bao, Danushka Bollegala, 2018, COLING.

Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings

Danushka Bollegala, Joshua Coates, 2018, NAACL.

A Comparative Study of Pivot Selection Strategies for Unsupervised Domain Adaptation

Danushka Bollegala, Xia Cui, Frans Coenen, 2018 .

CLIEL: context-based information extraction from commercial law documents

Danushka Bollegala, Katie Atkinson, Frans Coenen, 2017, ICAIL.