← Authors

Danushka Bollegala

72 papers · 2005–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (20) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (79) 🀝 Dynamic Duo (15) πŸ† Keyword Champion (8) πŸ”¬ Deep Specialist (16) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (70) πŸ—ƒοΈ Keyword Collector (191) πŸ”₯ Unstoppable (8) ❓ The Questioner (4)

Conferences

ACL (15) EMNLP (15) COLING (10) EACL (8) IJCAI (6) IJCNLP (6) NAACL (6) AACL (4) AAAI (1) ICLR (1)

Top co-authors

Masahiro Kaneko (15) Yi Zhou (12) Naoaki Okazaki (9) Ken-Ichi Kawarabayashi (8) Mitsuru Ishizuka (7) Taichi Aida (6) Tianhui Zhang (5) Bei Peng (4) Yutaka Matsuo (3) Gaifan Zhang (3)

Keywords

word embedding (17) social bia (8) gender bia (8) representation learning (7) large language model (7) masked language model (6) bias evaluation (5) semantic change detection (5) semantic similarity (4) lexical semantics (4) contextual embedding (4) pre-trained language model (4) pretrained language model (4) unsupervised learning (4) principal component analysis (3) sense embedding (3) named entity recognition (3) in-context learning (3) text classification (3) word sense disambiguation (3)

Papers

CASE – Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement EACL 2026
Evaluating the Effect of Retrieval Augmentation on Social Biases EACL 2026
An Ethical Dataset from Real-World Interactions Between Users and Large Language Models IJCAI 2025
Evaluating the Evaluation of Diversity in Commonsense Generation ACL 2025
The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing COLING 2025
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes COLING 2025
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information ICLR 2025
SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection EMNLP 2025
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models EMNLP 2025
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset EMNLP 2025
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER NAACL 2024
In-Contextual Gender Bias Suppression for Large Language Models EACL 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures ACL 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings COLING 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models EMNLP 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection ACL 2024
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated IJCNLP 2023
Learning to Predict Concept Ordering for Common Sense Generation AACL 2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated AACL 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings AACL 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation ACL 2023
Together We Make Sense–Learning Meta-Sense Embeddings ACL 2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings ACL 2023
Solving Cosine Similarity Underestimation between High Frequency Words by β„“2 Norm Discounting ACL 2023
Evaluating the Robustness of Discrete Prompts EACL 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples EACL 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models EMNLP 2023
Can Word Sense Distribution Detect Semantic Changes of Words? EMNLP 2023
Swap and Predict – Predicting the Semantic Changes in Words across Corpora by Context Swapping EMNLP 2023
Learning to Predict Concept Ordering for Common Sense Generation IJCNLP 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings IJCNLP 2023
Gender Bias in Masked Language Models for Multiple Languages NAACL 2022
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion NAACL 2022
Position-based Prompting for Health Outcome Generation ACL 2022
A Survey on Word Meta-Embedding Learning IJCAI 2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings IJCAI 2022
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings ACL 2022
Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks COLING 2022
Unmasking the Mask – Evaluating Social Biases in Masked Language Models AAAI 2022
On the Curious Case of l2 norm of Sense Embeddings EMNLP 2022
Gender Bias in Meta-Embeddings EMNLP 2022
Zero-shot Cross-Lingual Counterfactual Detection via Automatic Extraction and Prediction of Clue Phrases EMNLP 2022
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021
I Wish I Would Have Loved This One, But I Didn’t – A Multilingual Dataset for Counterfactual Detection in Product Review EMNLP 2021
Detect and Classify – Joint Span Detection and Classification for Health Outcomes EMNLP 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings EACL 2021
Debiasing Pre-trained Contextualised Embeddings EACL 2021
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction COLING 2020
Tree-Structured Neural Topic Model ACL 2020
Autoencoding Improves Pre-trained Word Embeddings COLING 2020
Multi-Source Attention for Unsupervised Domain Adaptation AACL 2020
Gender-preserving Debiasing for Pre-trained Word Embeddings ACL 2019
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words IJCAI 2018
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset NAACL 2018
Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings NAACL 2018
An Empirical Study on Fine-Grained Named Entity Recognition COLING 2018
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection COLING 2018
Learning Word Meta-Embeddings by Autoencoding COLING 2018
Unsupervised Cross-Domain Word Representation Learning ACL 2015
Embedding Semantic Relations into Word Representations IJCAI 2015
Unsupervised Cross-Domain Word Representation Learning IJCNLP 2015
Learning to Predict Distributions of Words Across Domains ACL 2014
Mining for Analogous Tuples from an Entity-Relation Graph IJCAI 2013
Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification ACL 2011
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension EMNLP 2010
A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web EMNLP 2009
A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts IJCNLP 2008
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web NAACL 2007
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization ACL 2006
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization COLING 2006
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation IJCNLP 2005