Danushka Bollegala
75 papers · 2005–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (20) π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(79)
π€
Dynamic Duo
(15)
π
Keyword Champion
(8)
π¬
Deep Specialist
(16)
β‘
Prolific Year
(11)
π
Conference Pioneer
π
Century Club
(70)
ποΈ
Keyword Collector
(191)
π₯
Unstoppable
(8)
β
The Questioner
(4)
Conferences
ACL (18)
EMNLP (15)
COLING (10)
EACL (8)
IJCAI (6)
IJCNLP (6)
NAACL (6)
AACL (4)
AAAI (1)
ICLR (1)
Top co-authors
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 β Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
EACL 2026
Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
ACL 2026
Map of Encoders β Mapping Sentence Encoders using Quantum Relative Entropy
ACL 2026
A Multilingual Social Bias Benchmark Incorporating Thinking Processes
ACL 2026
Evaluating the Effect of Retrieval Augmentation on Social Biases
EACL 2026
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset
EMNLP 2025
SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection
EMNLP 2025
An Ethical Dataset from Real-World Interactions Between Users and Large Language Models
IJCAI 2025
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
ICLR 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
Annotating Training Data for Conditional Semantic Textual Similarity Measurement using Large Language Models
EMNLP 2025
In-Contextual Gender Bias Suppression for Large Language Models
EACL 2024
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER
NAACL 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
ACL 2024
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
ACL 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
COLING 2024
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning
EMNLP 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
EMNLP 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
IJCNLP 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
ACL 2023
Learning to Predict Concept Ordering for Common Sense Generation
AACL 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
IJCNLP 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
AACL 2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
AACL 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
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
ACL 2023
Solving Cosine Similarity Underestimation between High Frequency Words by β2 Norm Discounting
ACL 2023
Swap and Predict β Predicting the Semantic Changes in Words across Corpora by Context Swapping
EMNLP 2023
Evaluating the Robustness of Discrete Prompts
EACL 2023
Together We Make SenseβLearning Meta-Sense Embeddings
ACL 2023
A Survey on Word Meta-Embedding Learning
IJCAI 2022
Sense Embeddings are also Biased β Evaluating Social Biases in Static and Contextualised Sense Embeddings
ACL 2022
Position-based Prompting for Health Outcome Generation
ACL 2022
Debiasing Isnβt Enough! β on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks
COLING 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
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
IJCAI 2022
Unmasking the Mask β Evaluating Social Biases in Masked Language Models
AAAI 2022
Gender Bias in Masked Language Models for Multiple Languages
NAACL 2022
Learning to Borrowβ Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
NAACL 2022
Detect and Classify β Joint Span Detection and Classification for Health Outcomes
EMNLP 2021
I Wish I Would Have Loved This One, But I Didnβt β A Multilingual Dataset for Counterfactual Detection in Product Review
EMNLP 2021
Debiasing Pre-trained Contextualised Embeddings
EACL 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
EACL 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Multi-Source Attention for Unsupervised Domain Adaptation
AACL 2020
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction
COLING 2020
Autoencoding Improves Pre-trained Word Embeddings
COLING 2020
Tree-Structured Neural Topic Model
ACL 2020
Gender-preserving Debiasing for Pre-trained Word Embeddings
ACL 2019
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
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
IJCAI 2018
Learning Word Meta-Embeddings by Autoencoding
COLING 2018
Frustratingly Easy Meta-Embedding β Computing Meta-Embeddings by Averaging Source Word Embeddings
NAACL 2018
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
NAACL 2018
Unsupervised Cross-Domain Word Representation Learning
IJCNLP 2015
Embedding Semantic Relations into Word Representations
IJCAI 2015
Unsupervised Cross-Domain Word Representation Learning
ACL 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