NLPExplorer

Danushka Bollegala

Number of Papers:- 66

Number of Citations:- 67

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

NAACL

BioNLP

SIGDIAL

PACLIC

COLING

EMNLP

ArgMining

RANLP

LREC

TACL

ACL

EACL

*SEMEVAL

IJCNLP

*SEM

AACL

Co-Authors:-

Similar Authors:-

Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (SEM 2024) SEM

Danushka Bollegala | Vered Shwartz |

In-Contextual Gender Bias Suppression for Large Language Models F i n d i n g s - E A C L

Daisuke Oba | Masahiro Kaneko | Danushka Bollegala |

Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER NAACL

Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures F i n d i n g s - A C L

Junjie Chen | Xiangheng He | Danushka Bollegala | Yusuke Miyao |

A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection F i n d i n g s - A C L

Taichi Aida | Danushka Bollegala |

Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning F i n d i n g s - E M N L P

Tianhui Zhang | Bei Peng | Danushka Bollegala |

Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models EMNLP

Yi Zhou | Danushka Bollegala | Jose Camacho-Collados |

Evaluating the Robustness of Discrete Prompts EACL

Yoichi Ishibashi | Danushka Bollegala | Katsuhito Sudoh | Satoshi Nakamura |

Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Swap and Predict – Predicting the Semantic Changes in Words across Corpora by Context Swapping F i n d i n g s - E M N L P

Taichi Aida | Danushka Bollegala |

Can Word Sense Distribution Detect Semantic Changes of Words? F i n d i n g s - E M N L P

The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated IJCNLP AACL

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Solving Cosine Similarity Underestimation between High Frequency Words by ℓ2 Norm Discounting F i n d i n g s - A C L

Saeth Wannasuphoprasit | Yi Zhou | Danushka Bollegala |

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) ACL

Danushka Bollegala | Ruihong Huang | Alan Ritter |

Together We Make Sense–Learning Meta-Sense Embeddings F i n d i n g s - A C L

Haochen Luo | Yi Zhou | Danushka Bollegala |

A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models EMNLP

Yi Zhou | Jose Camacho-Collados | Danushka Bollegala |

A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings F i n d i n g s - I J C N L P

Danushka Bollegala | Shuichi Otake | Tomoya Machide | Ken-ichi Kawarabayashi |

Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings F i n d i n g s - A C L

Taichi Aida | Danushka Bollegala |

Learning to Predict Concept Ordering for Common Sense Generation IJCNLP AACL

Tianhui Zhang | Danushka Bollegala | Bei Peng |

Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation ACL

Xiaohang Tang | Yi Zhou | Danushka Bollegala |

Position-based Prompting for Health Outcome Generation ACL BioNLP

Micheal Abaho | Danushka Bollegala | Paula Williamson | Susanna Dodd |

Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL

Yi Zhou | Masahiro Kaneko | Danushka Bollegala |

Gender Bias in Masked Language Models for Multiple Languages NAACL

Masahiro Kaneko | Aizhan Imankulova | Danushka Bollegala | Naoaki Okazaki |

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

Huda Hakami | Mona Hakami | Angrosh Mandya | Danushka Bollegala |

Query Obfuscation by Semantic Decomposition LREC

Danushka Bollegala | Tomoya Machide | Ken-ichi Kawarabayashi |

Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models LREC

Keigo Takahashi | Danushka Bollegala |

Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

Gender Bias in Meta-Embeddings F i n d i n g s - E M N L P

Masahiro Kaneko | Danushka Bollegala | Naoaki Okazaki |

On the Curious Case of l2 norm of Sense Embeddings F i n d i n g s - E M N L P

Yi Zhou | Danushka Bollegala |

Debiasing Pre-trained Contextualised Embeddings EACL

Masahiro Kaneko | Danushka Bollegala |

RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL

Danushka Bollegala | Huda Hakami | Yuichi Yoshida | Ken-ichi Kawarabayashi |

Dictionary-based Debiasing of Pre-trained Word Embeddings EACL

Masahiro Kaneko | Danushka Bollegala |

Detect and Classify – Joint Span Detection and Classification for Health Outcomes EMNLP

Micheal Abaho | Danushka Bollegala | Paula Williamson | Susanna Dodd |

I Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product Review EMNLP

Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance TACL

Masaru Isonuma | Junichiro Mori | Danushka Bollegala | Ichiro Sakata |

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

Danushka Bollegala | Yi Zhou |

Tree-Structured Neural Topic Model ACL

Masaru Isonuma | Junichiro Mori | Danushka Bollegala | Ichiro Sakata |

Multi-Source Attention for Unsupervised Domain Adaptation AACL

Xia Cui | Danushka Bollegala |

Autoencoding Improves Pre-trained Word Embeddings COLING

Masahiro Kaneko | Danushka Bollegala |

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction COLING

Angrosh Mandya | Danushka Bollegala | Frans Coenen |

Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction LREC

Danushka Bollegala | Ryuichi Kiryo | Kosuke Tsujino | Haruki Yukawa |

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

Angrosh Mandya | James O’ Neill | Danushka Bollegala | Frans Coenen |

Gender-preserving Debiasing for Pre-trained Word Embeddings ACL

Masahiro Kaneko | Danushka Bollegala |

Self-Adaptation for Unsupervised Domain Adaptation RANLP

Xia Cui | Danushka Bollegala |

An Empirical Study on Fine-Grained Named Entity Recognition COLING

Learning Word Meta-Embeddings by Autoencoding COLING

Danushka Bollegala | Cong Bao |

Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection COLING

Huda Hakami | Kohei Hayashi | Danushka Bollegala |

Joint Learning of Sense and Word Embeddings LREC

Mohammed Alsuhaibani | Danushka Bollegala |

Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. LREC

Pavithra Rajendran | Danushka Bollegala | Simon Parsons |

A Dataset for Inter-Sentence Relation Extraction using Distant Supervision LREC

Angrosh Mandya | Danushka Bollegala | Frans Coenen | Katie Atkinson |

Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset NAACL

Pavithra Rajendran | Danushka Bollegala | Simon Parsons |

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

Joshua Coates | Danushka Bollegala |

Learning Neural Word Salience Scores *SEMEVAL

Krasen Samardzhiev | Andrew Gargett | Danushka Bollegala |

Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition *SEMEVAL

Xia Cui | Sadamori Kojaku | Naoki Masuda | Danushka Bollegala |

Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews ArgMining WS

Pavithra Rajendran | Danushka Bollegala | Simon Parsons |

Unsupervised Cross-Domain Word Representation Learning ACL IJCNLP

Danushka Bollegala | Takanori Maehara | Ken-ichi Kawarabayashi |

Learning to Predict Distributions of Words Across Domains ACL

Danushka Bollegala | David Weir | John Carroll |

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

Danushka Bollegala | David Weir | John Carroll |

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

Hugo Hernault | Danushka Bollegala | Mitsuru Ishizuka |

Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations SIGDIAL WS

Hugo Hernault | Danushka Bollegala | Mitsuru Ishizuka |

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

Danushka Bollegala | Yutaka Matsuo | Mitsuru Ishizuka |

A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts IJCNLP

Danushka Bollegala | Yutaka Matsuo | Mitsuru Ishizuka |

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

Danushka Bollegala | Yutaka Matsuo | Mitsuru Ishizuka |

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

Danushka Bollegala | Naoaki Okazaki | Mitsuru Ishizuka |

Extracting Key Phrases to Disambiguate Personal Name Queries in Web Search WS

Danushka Bollegala | Yutaka Matsuo | Mitsuru Ishizuka |

A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation IJCNLP

Danushka Bollegala | Naoaki Okazaki | Mitsuru Ishizuka |