Danushka Bollegala

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 193

Top Venues

Publications

Daisuke Oba, Masahiro Kaneko, Danushka Bollegala
In-Contextual Gender Bias Suppression for Large Language Models. EACL (Findings) (2024)
Taichi Aida, Danushka Bollegala
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. CoRR (2024)
Junjie Chen, Xiangheng He, Danushka Bollegala, Yusuke Miyao
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures. ACL (Findings) (2024)
Taichi Aida, Danushka Bollegala
Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes. CoRR (2024)
Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing. CoRR (2024)
Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin
Eagle: Ethical Dataset Given from Real Interactions. CoRR (2024)
Tianhui Zhang, Bei Peng, Danushka Bollegala
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning. CoRR (2024)
Yi Zhou, Danushka Bollegala, José Camacho-Collados
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models. CoRR (2024)
Micheal Abaho, Danushka Bollegala, Gary Leeming, Dan Joyce, Iain E. Buchan
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER. CoRR (2024)
Gaifan Zhang, Yi Zhou, Danushka Bollegala
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. CoRR (2024)
Gaifan Zhang, Yi Zhou, Danushka Bollegala
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. LREC/COLING (2024)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki, Timothy Baldwin
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting. CoRR (2024)
Junjie Chen, Xiangheng He, Danushka Bollegala, Yusuke Miyao
Constituents Correspond to Word Sequence Patterns among Sentences with Equivalent Predicate-Argument Structures: Unsupervised Constituency Parsing by Span Matching. CoRR (2024)
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Min Li, Shan Luo
Multimodal zero-shot learning for tactile texture recognition. Robotics Auton. Syst. 176 (2024)
Taichi Aida, Danushka Bollegala
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. ACL (Findings) (2024)
Micheal Abaho, Danushka Bollegala, Gary Leeming, Dan Joyce, Iain E. Buchan
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NER. NAACL-HLT (2024)
Taichi Aida, Danushka Bollegala
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. EMNLP (Findings) (2023)
Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh, Satoshi Nakamura
Evaluating the Robustness of Discrete Prompts. CoRR (2023)
Haochen Luo, Yi Zhou, Danushka Bollegala
Together We Make Sense-Learning Meta-Sense Embeddings. ACL (Findings) (2023)
Taichi Aida, Danushka Bollegala
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. ACL (Findings) (2023)
Tianhui Zhang, Danushka Bollegala, Bei Peng
Learning to Predict Concept Ordering for Common Sense Generation. IJCNLP (2) (2023)
Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting. CoRR (2023)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. EACL (2023)
Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh, Satoshi Nakamura
Evaluating the Robustness of Discrete Prompts. EACL (2023)
Yi Zhou, José Camacho-Collados, Danushka Bollegala
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. CoRR (2023)
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Shan Luo
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders. CoRR (2023)
Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala
Solving Cosine Similarity Underestimation between High Frequency Words by \ell₂ Norm Discounting. ACL (Findings) (2023)
Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, Shan Luo
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. CoRR (2023)
Procheta Sen, Tulika Saha, Danushka Bollegala
Report on the 1st Symposium on NLP for Social: Good (NSG 2023). SIGIR Forum 57 (2) (2023)
Xiaohang Tang, Yi Zhou, Danushka Bollegala
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. ACL (1) (2023)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. CoRR (2023)
Yi Zhou, José Camacho-Collados, Danushka Bollegala
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. EMNLP (2023)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. IJCNLP (2) (2023)
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Min Li, Shan Luo
Multimodal Zero-Shot Learning for Tactile Texture Recognition. CoRR (2023)
Danushka Bollegala, Shuichi Otake, Tomoya Machide, Ken-ichi Kawarabayashi
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings. IJCNLP (Findings) (2023)
Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context. CoRR (2023)
Tianhui Zhang, Danushka Bollegala, Bei Peng
Learning to Predict Concept Ordering for Common Sense Generation. CoRR (2023)
Taichi Aida, Danushka Bollegala
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. CoRR (2023)
Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala
A Word Sense Distribution-based approach for Semantic Change Prediction. EMNLP (Findings) (2023)
Haochen Luo, Yi Zhou, Danushka Bollegala
Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings. CoRR (2023)
Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, Shan Luo
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. ICRA (2023)
Taichi Aida, Danushka Bollegala
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. CoRR (2023)
Daisuke Oba, Masahiro Kaneko, Danushka Bollegala
In-Contextual Bias Suppression for Large Language Models. CoRR (2023)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. CoRR (2023)
Danushka Bollegala, Shuichi Otake, Tomoya Machide, Ken-ichi Kawarabayashi
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings. CoRR (2023)
Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Shan Luo
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders. IROS (2023)
Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala
Can Word Sense Distribution Detect Semantic Changes of Words? CoRR (2023)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks. COLING (2022)
Yi Zhou, Masahiro Kaneko, Danushka Bollegala
Sense Embeddings are also Biased-Evaluating Social Biases in Static and Contextualised Sense Embeddings. CoRR (2022)
Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi
Query Obfuscation by Semantic Decomposition. LREC (2022)
Masahiro Kaneko, Danushka Bollegala
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. AAAI (2022)
Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties. CoRR (2022)
Danushka Bollegala, James O'Neill
A Survey on Word Meta-Embedding Learning. IJCAI (2022)
Xiaohang Tang, Yi Zhou, Danushka Bollegala
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. CoRR (2022)
Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
Position-based Prompting for Health Outcome Generation. BioNLP@ACL (2022)
Keigo Takahashi, Danushka Bollegala
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. LREC (2022)
Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala
Learning to Borrow- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion. NAACL-HLT (2022)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Debiasing isn't enough! - On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks. CoRR (2022)
Yi Zhou, Danushka Bollegala
norm of Sense Embeddings. CoRR (2022)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Gender Bias in Meta-Embeddings. CoRR (2022)
Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki
Gender Bias in Masked Language Models for Multiple Languages. CoRR (2022)
Keigo Takahashi, Danushka Bollegala
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. CoRR (2022)
Danushka Bollegala
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. CoRR (2022)
Yi Zhou, Danushka Bollegala
On the Curious Case of l2 norm of Sense Embeddings. EMNLP (Findings) (2022)
Tadashi Tsubota, Danushka Bollegala, Yang Zhao, Yingzi Jin, Tomotake Kozu
Improvement of intervention information detection for automated clinical literature screening during systematic review. J. Biomed. Informatics 134 (2022)
Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki
Gender Bias in Masked Language Models for Multiple Languages. NAACL-HLT (2022)
Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala
Learning to Borrow - Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion. CoRR (2022)
Danushka Bollegala, James O'Neill
A Survey on Word Meta-Embedding Learning. CoRR (2022)
Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd
Assessment of contextualised representations in detecting outcome phrases in clinical trials. CoRR (2022)
Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
Position-based Prompting for Health Outcome Generation. CoRR (2022)
Danushka Bollegala
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. IJCAI (2022)
Yi Zhou, Masahiro Kaneko, Danushka Bollegala
Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings. ACL (1) (2022)
Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki
Gender Bias in Meta-Embeddings. EMNLP (Findings) (2022)
Masahiro Kaneko, Danushka Bollegala
Debiasing Pre-trained Contextualised Embeddings. CoRR (2021)
Masahiro Kaneko, Danushka Bollegala
Dictionary-based Debiasing of Pre-trained Word Embeddings. EACL (2021)
Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. EMNLP (1) (2021)
Masahiro Kaneko, Danushka Bollegala
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. CoRR (2021)
James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Reviews. CoRR (2021)
James O'Neill, Danushka Bollegala
k-Neighbor Based Curriculum Sampling for Sequence Prediction. CoRR (2021)
Masahiro Kaneko, Danushka Bollegala
Dictionary-based Debiasing of Pre-trained Word Embeddings. CoRR (2021)
Danushka Bollegala, Yi Zhou
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. PACLIC (2021)
Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. EACL (2021)
James O'Neill, Danushka Bollegala
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. CoRR (2021)
Yi Zhou, Danushka Bollegala
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. CoRR (2021)
Masahiro Kaneko, Danushka Bollegala
Debiasing Pre-trained Contextualised Embeddings. EACL (2021)
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. Trans. Assoc. Comput. Linguistics 9 (2021)
Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. DaWaK (2021)
Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. CoRR (2021)
Mikhail Fain, Niall Twomey, Danushka Bollegala
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. CoRR (2021)
Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding. CoRR (2021)
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. CoRR (2021)
Mikhail Fain, Niall Twomey, Danushka Bollegala
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. SIGIR (2021)
James O'Neill, Polina Rozenshtein, Ryuichi Kiryo, Motoko Kubota, Danushka Bollegala
I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review. EMNLP (1) (2021)
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata
Tree-Structured Neural Topic Model. ACL (2020)
Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering. LREC (2020)
Angrosh Mandya, Danushka Bollegala, Frans Coenen
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. COLING (2020)
Xia Cui, Danushka Bollegala
Multi-Source Attention for Unsupervised Domain Adaptation. AACL/IJCNLP (2020)
Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. CoRR (2020)
Asir Saeed, Khai Mai, Pham Minh, Nguyen Tuan Duc, Danushka Bollegala
Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents. CoRR (2020)
Yash Khemchandani, Stephen O'Hagan, Soumitra Samanta, Neil Swainston, Timothy J. Roberts, Danushka Bollegala, Douglas B. Kell
DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach. J. Cheminformatics 12 (1) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Danushka Bollegala