Danushka Bollegala
70 papers · 2005–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🗺️ Taxonomy Completionist (74) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(6)
🧬
Topic Evolution
🔬
Deep Specialist
(17)
🤝
Dynamic Duo
(15)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
❓
The Questioner
(4)
⚡
Prolific Year · Prolific
🚀
Conference Pioneer
💎
Century Club · Silver
🗃️
Keyword Collector
(204)
Venues
Top co-authors
Research topics
Machine Learning
(45)
Natural Language Processing
(40)
Resources & Methods
(30)
Core Methods
(29)
Artificial Intelligence
(22)
Core AI
(19)
Application Areas
(16)
Learning Types · Machine Learning
(15)
Deep Learning
(13)
Applications
(9)
Understanding
(9)
Generation
(8)
Learning Types · Deep Learning
(8)
Interdisciplinary
(5)
Linguistics
(5)
Keywords
word embedding
(17)
gender bia
(8)
social bia
(8)
pre-trained language model
(8)
large language model
(7)
representation learning
(7)
masked language model
(6)
bias evaluation
(5)
semantic change detection
(5)
unsupervised learning
(4)
contextual embedding
(4)
semantic similarity
(4)
lexical semantics
(4)
text classification
(3)
sense embedding
(3)
principal component analysis
(3)
named entity recognition
(3)
word sense disambiguation
(3)
in-context learning
(3)
text representation
(2)
Papers
A Multilingual Social Bias Benchmark Incorporating Thinking Processes
ACL 2026
CASE – Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
EACL 2026
Evaluating the Effect of Retrieval Augmentation on Social Biases
EACL 2026
Map of Encoders – Mapping Sentence Encoders using Quantum Relative Entropy
ACL 2026
Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
ACL 2026
An Ethical Dataset from Real-World Interactions Between Users and Large Language Models
IJCAI 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
Evaluating the Evaluation of Diversity in Commonsense Generation
ACL 2025
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
ICLR 2025
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes
COLING 2025
SCDTour: Embedding Axis Ordering and Merging for Interpretable Semantic Change Detection
EMNLP 2025
The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing
COLING 2025
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
ACL 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
EMNLP 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
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
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
IJCNLP 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
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
EACL 2023
Evaluating the Robustness of Discrete Prompts
EACL 2023
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation
ACL 2023
Learning to Predict Concept Ordering for Common Sense Generation
IJCNLP 2023
Solving Cosine Similarity Underestimation between High Frequency Words by ℓ2 Norm Discounting
ACL 2023
Swap and Predict – Predicting the Semantic Changes in Words across Corpora by Context Swapping
EMNLP 2023
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
IJCNLP 2023
Together We Make Sense–Learning Meta-Sense Embeddings
ACL 2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
ACL 2023
A Survey on Word Meta-Embedding Learning
IJCAI 2022
Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks
COLING 2022
Gender Bias in Masked Language Models for Multiple Languages
NAACL 2022
Gender Bias in Meta-Embeddings
EMNLP 2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
IJCAI 2022
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
NAACL 2022
On the Curious Case of l2 norm of Sense Embeddings
EMNLP 2022
Position-based Prompting for Health Outcome Generation
ACL 2022
Sense Embeddings are also Biased – Evaluating Social Biases in Static and Contextualised Sense Embeddings
ACL 2022
Unmasking the Mask – Evaluating Social Biases in Masked Language Models
AAAI 2022
Zero-shot Cross-Lingual Counterfactual Detection via Automatic Extraction and Prediction of Clue Phrases
EMNLP 2022
Debiasing Pre-trained Contextualised Embeddings
EACL 2021
Detect and Classify – Joint Span Detection and Classification for Health Outcomes
EMNLP 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings
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
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Autoencoding Improves Pre-trained Word Embeddings
COLING 2020
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction
COLING 2020
Multi-Source Attention for Unsupervised Domain Adaptation
AACL 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
Frustratingly Easy Meta-Embedding – 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
Learning Word Meta-Embeddings by Autoencoding
COLING 2018
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
IJCAI 2018
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
COLING 2018
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 Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
IJCNLP 2005