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Danushka Bollegala
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2020 – today
- 2024
- [j25]Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Min Li, Shan Luo:
Multimodal zero-shot learning for tactile texture recognition. Robotics Auton. Syst. 176: 104688 (2024) - [c140]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: 3760-3772 - [c139]Taichi Aida, Danushka Bollegala:
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. ACL (Findings) 2024: 7570-7584 - [c138]Gaifan Zhang, Yi Zhou, Danushka Bollegala:
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. LREC/COLING 2024: 6530-6543 - [c137]Daisuke Oba, Masahiro Kaneko, Danushka Bollegala:
In-Contextual Gender Bias Suppression for Large Language Models. EACL (Findings) 2024: 1722-1742 - [c136]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: 5013-5029 - [i81]Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin:
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing. CoRR abs/2401.08511 (2024) - [i80]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki, Timothy Baldwin:
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting. CoRR abs/2401.15585 (2024) - [i79]Masahiro Kaneko, Danushka Bollegala, Timothy Baldwin:
Eagle: Ethical Dataset Given from Real Interactions. CoRR abs/2402.14258 (2024) - [i78]Taichi Aida, Danushka Bollegala:
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. CoRR abs/2403.00226 (2024) - [i77]Gaifan Zhang, Yi Zhou, Danushka Bollegala:
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings. CoRR abs/2403.14001 (2024) - [i76]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 abs/2403.18025 (2024) - [i75]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 abs/2404.12059 (2024) - [i74]Tianhui Zhang, Bei Peng, Danushka Bollegala:
Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning. CoRR abs/2404.16807 (2024) - [i73]Yi Zhou, Danushka Bollegala, José Camacho-Collados:
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models. CoRR abs/2406.13556 (2024) - [i72]Taichi Aida, Danushka Bollegala:
Investigating the Contextualised Word Embedding Dimensions Responsible for Contextual and Temporal Semantic Changes. CoRR abs/2407.02820 (2024) - 2023
- [j24]Procheta Sen, Tulika Saha, Danushka Bollegala:
Report on the 1st Symposium on NLP for Social: Good (NSG 2023). SIGIR Forum 57(2): 7:1-7:9 (2023) - [c135]Haochen Luo, Yi Zhou, Danushka Bollegala:
Together We Make Sense-Learning Meta-Sense Embeddings. ACL (Findings) 2023: 2638-2651 - [c134]Taichi Aida, Danushka Bollegala:
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. ACL (Findings) 2023: 6868-6882 - [c133]Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala:
Solving Cosine Similarity Underestimation between High Frequency Words by \ell₂ Norm Discounting. ACL (Findings) 2023: 8644-8652 - [c132]Xiaohang Tang, Yi Zhou, Danushka Bollegala:
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. ACL (1) 2023: 9352-9369 - [c131]Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh, Satoshi Nakamura:
Evaluating the Robustness of Discrete Prompts. EACL 2023: 2365-2376 - [c130]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. EACL 2023: 2849-2855 - [c129]Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala:
A Word Sense Distribution-based approach for Semantic Change Prediction. EMNLP (Findings) 2023: 3575-3590 - [c128]Taichi Aida, Danushka Bollegala:
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. EMNLP (Findings) 2023: 7753-7772 - [c127]Yi Zhou, José Camacho-Collados, Danushka Bollegala:
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. EMNLP 2023: 11082-11100 - [c126]Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, Shan Luo:
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. ICRA 2023: 12443-12449 - [c125]Tianhui Zhang, Danushka Bollegala, Bei Peng:
Learning to Predict Concept Ordering for Common Sense Generation. IJCNLP (2) 2023: 10-19 - [c124]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. IJCNLP (2) 2023: 29-36 - [c123]Danushka Bollegala, Shuichi Otake, Tomoya Machide, Ken-ichi Kawarabayashi:
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings. IJCNLP (Findings) 2023: 65-79 - [c122]Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Shan Luo:
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders. IROS 2023: 10800-10805 - [e2]Danushka Bollegala, Ruihong Huang, Alan Ritter:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, ACL 2023, Toronto, Canada, July 10-12, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-70-8 [contents] - [i71]Guanqun Cao, Jiaqi Jiang, Ningtao Mao, Danushka Bollegala, Min Li, Shan Luo:
Vis2Hap: Vision-based Haptic Rendering by Cross-modal Generation. CoRR abs/2301.06826 (2023) - [i70]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples. CoRR abs/2301.12074 (2023) - [i69]Yoichi Ishibashi, Danushka Bollegala, Katsuhito Sudoh, Satoshi Nakamura:
Evaluating the Robustness of Discrete Prompts. CoRR abs/2302.05619 (2023) - [i68]Taichi Aida, Danushka Bollegala:
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings. CoRR abs/2305.08654 (2023) - [i67]Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala:
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting. CoRR abs/2305.10610 (2023) - [i66]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 abs/2305.16372 (2023) - [i65]Haochen Luo, Yi Zhou, Danushka Bollegala:
Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings. CoRR abs/2305.19092 (2023) - [i64]Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Min Li, Shan Luo:
Multimodal Zero-Shot Learning for Tactile Texture Recognition. CoRR abs/2306.12705 (2023) - [i63]Guanqun Cao, Jiaqi Jiang, Danushka Bollegala, Shan Luo:
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders. CoRR abs/2307.07358 (2023) - [i62]Tianhui Zhang, Danushka Bollegala, Bei Peng:
Learning to Predict Concept Ordering for Common Sense Generation. CoRR abs/2309.06363 (2023) - [i61]Daisuke Oba, Masahiro Kaneko, Danushka Bollegala:
In-Contextual Bias Suppression for Large Language Models. CoRR abs/2309.07251 (2023) - [i60]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated. CoRR abs/2309.09092 (2023) - [i59]Danushka Bollegala, Shuichi Otake, Tomoya Machide, Ken-ichi Kawarabayashi:
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings. CoRR abs/2309.10551 (2023) - [i58]Taichi Aida, Danushka Bollegala:
Swap and Predict - Predicting the Semantic Changes in Words across Corpora by Context Swapping. CoRR abs/2310.10397 (2023) - [i57]Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala:
Can Word Sense Distribution Detect Semantic Changes of Words? CoRR abs/2310.10400 (2023) - [i56]Yi Zhou, José Camacho-Collados, Danushka Bollegala:
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models. CoRR abs/2310.12936 (2023) - 2022
- [j23]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: 104185 (2022) - [c121]Masahiro Kaneko, Danushka Bollegala:
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. AAAI 2022: 11954-11962 - [c120]Yi Zhou, Masahiro Kaneko, Danushka Bollegala:
Sense Embeddings are also Biased - Evaluating Social Biases in Static and Contextualised Sense Embeddings. ACL (1) 2022: 1924-1935 - [c119]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Position-based Prompting for Health Outcome Generation. BioNLP@ACL 2022: 26-36 - [c118]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: 1299-1310 - [c117]Yi Zhou, Danushka Bollegala:
On the Curious Case of l2 norm of Sense Embeddings. EMNLP (Findings) 2022: 2593-2602 - [c116]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Meta-Embeddings. EMNLP (Findings) 2022: 3118-3133 - [c115]Danushka Bollegala:
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. IJCAI 2022: 4058-4064 - [c114]Danushka Bollegala, James O'Neill:
A Survey on Word Meta-Embedding Learning. IJCAI 2022: 5402-5409 - [c113]Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi:
Query Obfuscation by Semantic Decomposition. LREC 2022: 6200-6211 - [c112]Keigo Takahashi, Danushka Bollegala:
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. LREC 2022: 7155-7163 - [c111]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. NAACL-HLT 2022: 2740-2750 - [c110]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: 2887-2898 - [i55]Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd:
Assessment of contextualised representations in detecting outcome phrases in clinical trials. CoRR abs/2203.03547 (2022) - [i54]Yi Zhou, Masahiro Kaneko, Danushka Bollegala:
Sense Embeddings are also Biased-Evaluating Social Biases in Static and Contextualised Sense Embeddings. CoRR abs/2203.07523 (2022) - [i53]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Position-based Prompting for Health Outcome Generation. CoRR abs/2204.03489 (2022) - [i52]Keigo Takahashi, Danushka Bollegala:
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models. CoRR abs/2204.07746 (2022) - [i51]Danushka Bollegala, James O'Neill:
A Survey on Word Meta-Embedding Learning. CoRR abs/2204.11660 (2022) - [i50]Danushka Bollegala:
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings. CoRR abs/2204.12386 (2022) - [i49]Huda Hakami, Mona Hakami, Angrosh Mandya, Danushka Bollegala:
Learning to Borrow - Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion. CoRR abs/2204.13097 (2022) - [i48]Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Masked Language Models for Multiple Languages. CoRR abs/2205.00551 (2022) - [i47]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Gender Bias in Meta-Embeddings. CoRR abs/2205.09867 (2022) - [i46]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 abs/2206.08841 (2022) - [i45]Xiaohang Tang, Yi Zhou, Danushka Bollegala:
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. CoRR abs/2208.10734 (2022) - [i44]Masahiro Kaneko, Danushka Bollegala, Naoaki Okazaki:
Debiasing isn't enough! - On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks. CoRR abs/2210.02938 (2022) - [i43]Yi Zhou, Danushka Bollegala:
On the Curious Case of 𝓁2 norm of Sense Embeddings. CoRR abs/2210.14815 (2022) - 2021
- [j22]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: 945-961 (2021) - [c109]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: 116-127 - [c108]Masahiro Kaneko, Danushka Bollegala:
Dictionary-based Debiasing of Pre-trained Word Embeddings. EACL 2021: 212-223 - [c107]Masahiro Kaneko, Danushka Bollegala:
Debiasing Pre-trained Contextualised Embeddings. EACL 2021: 1256-1266 - [c106]Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. EACL 2021: 1551-1565 - [c105]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: 7092-7108 - [c104]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. EMNLP (1) 2021: 8709-8721 - [c103]Danushka Bollegala, Yi Zhou:
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. PACLIC 2021: 493-502 - [c102]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. SIGIR 2021: 2106-2110 - [i42]James O'Neill, Danushka Bollegala:
k-Neighbor Based Curriculum Sampling for Sequence Prediction. CoRR abs/2101.09313 (2021) - [i41]Masahiro Kaneko, Danushka Bollegala:
Debiasing Pre-trained Contextualised Embeddings. CoRR abs/2101.09523 (2021) - [i40]Masahiro Kaneko, Danushka Bollegala:
Dictionary-based Debiasing of Pre-trained Word Embeddings. CoRR abs/2101.09525 (2021) - [i39]Danushka Bollegala, Huda Hakami, Yuichi Yoshida, Ken-ichi Kawarabayashi:
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding. CoRR abs/2101.10070 (2021) - [i38]James O'Neill, Danushka Bollegala:
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning. CoRR abs/2102.06603 (2021) - [i37]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 abs/2104.06893 (2021) - [i36]Masahiro Kaneko, Danushka Bollegala:
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. CoRR abs/2104.07496 (2021) - [i35]Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd:
Detect and Classify - Joint Span Detection and Classification for Health Outcomes. CoRR abs/2104.07789 (2021) - [i34]Mikhail Fain, Niall Twomey, Danushka Bollegala:
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. CoRR abs/2105.04971 (2021) - [i33]Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata:
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. CoRR abs/2106.08007 (2021) - [i32]Yi Zhou, Danushka Bollegala:
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy. CoRR abs/2110.02204 (2021) - 2020
- [j21]Katie Atkinson, Trevor J. M. Bench-Capon, Danushka Bollegala:
Explanation in AI and law: Past, present and future. Artif. Intell. 289: 103387 (2020) - [j20]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): 53 (2020) - [c101]Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata:
Tree-Structured Neural Topic Model. ACL 2020: 800-806 - [c100]Masahiro Kaneko, Danushka Bollegala:
Autoencoding Improves Pre-trained Word Embeddings. COLING 2020: 1699-1713 - [c99]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. COLING 2020: 6424-6435 - [c98]James O'Neill, Danushka Bollegala:
Meta-Embedding as Auxiliary Task Regularization. ECAI 2020: 2124-2131 - [c97]Xia Cui, Danushka Bollegala:
Multi-Source Attention for Unsupervised Domain Adaptation. AACL/IJCNLP 2020: 873-883 - [c96]Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo:
Spatio-temporal Attention Model for Tactile Texture Recognition. IROS 2020: 9896-9902 - [c95]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: 2017-2025 - [c94]Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa:
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. LREC 2020: 3851-3860 - [c93]Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. SGAI Conf. 2020: 345-357 - [i31]Danushka Bollegala, Ryuichi Kiryo, Kosuke Tsujino, Haruki Yukawa:
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction. CoRR abs/2002.11004 (2020) - [i30]Xia Cui, Danushka Bollegala:
Multi-source Attention for Unsupervised Domain Adaptation. CoRR abs/2004.06608 (2020) - [i29]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Contextualised Graph Attention for Improved Relation Extraction. CoRR abs/2004.10624 (2020) - [i28]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 abs/2005.03066 (2020) - [i27]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. CoRR abs/2005.05754 (2020) - [i26]Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo:
Spatio-temporal Attention Model for Tactile Texture Recognition. CoRR abs/2008.04442 (2020) - [i25]Masahiro Kaneko, Danushka Bollegala:
Autoencoding Improves Pre-trained Word Embeddings. CoRR abs/2010.13094 (2020)
2010 – 2019
- 2019
- [c92]Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. ACL (1) 2019: 1641-1650 - [c91]Mohammed Alsuhaibani, Takanori Maehara, Danushka Bollegala:
Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy. AKBC 2019 - [c90]Huda Hakami, Danushka Bollegala:
Learning Relation Representations from Word Representations. AKBC 2019 - [c89]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. AKBC 2019 - [c88]Yi Zhou, Danushka Bollegala:
Predicting the Quality of Translations Without an Oracle. IC3K 2019: 3-23 - [c87]Yi Zhou, Danushka Bollegala:
Unsupervised Evaluation of Human Translation Quality. KDIR 2019: 55-64 - [c86]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Automated Bundle Pagination Using Machine Learning. ICAIL 2019: 244-248 - [c85]Jet-Tsyn Lee, Danushka Bollegala, Shan Luo:
"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception. ICRA 2019: 4276-4282 - [c84]Micheal Abaho, Danushka Bollegala, Paula R. Williamson, Susanna Dodd:
Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine. KDH@IJCAI 2019: 1-5 - [c83]James O'Neill, Danushka Bollegala, Peter-J. Noble, Alan D. Radford:
Tick Parasitism Classification from Noisy Medical Records. KDH@IJCAI 2019: 30-34 - [c82]Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Extracting Supporting Evidence from Medical Negligence Claim Texts. KDH@IJCAI 2019: 50-54 - [c81]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. JURIX 2019: 223-228 - [c80]Wenye Chen, Huda Hakami, Danushka Bollegala:
Learning to Compose Relational Embeddings in Knowledge Graphs. PACLING 2019: 56-66 - [c79]Huda Hakami, Danushka Bollegala:
Context-Guided Self-supervised Relation Embeddings. PACLING 2019: 67-78 - [c78]James O'Neill, Danushka Bollegala:
Learning to Evaluate Neural Language Models. PACLING 2019: 123-133 - [c77]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
A Pilot Study on Argument Simplification in Stance-Based Opinions. PACLING 2019: 218-230 - [c76]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering. PACLING 2019: 280-292 - [c75]Xia Cui, Danushka Bollegala:
Self-Adaptation for Unsupervised Domain Adaptation. RANLP 2019: 213-222 - [i24]James O'Neill, Danushka Bollegala:
Error-Correcting Neural Sequence Prediction. CoRR abs/1901.07002 (2019) - [i23]Jet-Tsyn Lee, Danushka Bollegala, Shan Luo:
"Touching to See" and "Seeing to Feel": Robotic Cross-modal SensoryData Generation for Visual-Tactile Perception. CoRR abs/1902.06273 (2019) - [i22]Thai-Hoang Pham, Khai Mai, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition. CoRR abs/1902.10118 (2019) - [i21]Masahiro Kaneko, Danushka Bollegala:
Gender-preserving Debiasing for Pre-trained Word Embeddings. CoRR abs/1906.00742 (2019) - [i20]James O'Neill, Danushka Bollegala:
Transfer Reward Learning for Policy Gradient-Based Text Generation. CoRR abs/1909.03622 (2019) - [i19]Danushka Bollegala, Tomoya Machide, Ken-ichi Kawarabayashi:
Anonymising Queries by Semantic Decomposition. CoRR abs/1909.05819 (2019) - [i18]Mikhail Fain, Andrey Ponikar, Ryan Fox, Danushka Bollegala:
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA. CoRR abs/1911.12763 (2019) - 2018
- [j19]Xia Cui, Noor Al-Bazzaz, Danushka Bollegala, Frans Coenen:
A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification. Knowl. Eng. Rev. 33: e5 (2018) - [j18]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Iterative Keystroke Continuous Authentication: A Time Series Based Approach. Künstliche Intell. 32(4): 231-243 (2018) - [j17]Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. ACM Trans. Knowl. Discov. Data 12(5): 55:1-55:29 (2018) - [c74]Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Using k-Way Co-Occurrences for Learning Word Embeddings. AAAI 2018: 5037-5044 - [c73]Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Nguyen Tuan Duc, Danushka Bollegala, Ryohei Sasano, Satoshi Sekine:
An Empirical Study on Fine-Grained Named Entity Recognition. COLING 2018: 711-722 - [c72]Danushka Bollegala, Cong Bao:
Learning Word Meta-Embeddings by Autoencoding. COLING 2018: 1650-1661 - [c71]Huda Hakami, Kohei Hayashi, Danushka Bollegala:
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection. COLING 2018: 2493-2504 - [c70]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. ICISSP 2018: 62-73 - [c69]Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi:
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. IJCAI 2018: 3970-3976 - [c68]Robert Bevan, Alessandro Torrisi, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. JURIX 2018: 171-175 - [c67]Mohammed Alsuhaibani, Danushka Bollegala:
Joint Learning of Sense and Word Embeddings. LREC 2018 - [c66]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. LREC 2018 - [c65]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. LREC 2018 - [c64]Mamdouh Farouk, Mitsuru Ishizuka, Danushka Bollegala:
Graph Matching Based Semantic Search Engine. MTSR 2018: 89-100 - [c63]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset. NAACL-HLT (2) 2018: 28-34 - [c62]Joshua Coates, Danushka Bollegala:
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. NAACL-HLT (2) 2018: 194-198 - [c61]Krasen Samardzhiev, Andrew Gargett, Danushka Bollegala:
Learning Neural Word Salience Scores. *SEM@NAACL-HLT 2018: 33-42 - [c60]Xia Cui, Sadamori Kojaku, Naoki Masuda, Danushka Bollegala:
Solving Feature Sparseness in Text Classification using Core-Periphery Decomposition. *SEM@NAACL-HLT 2018: 255-264 - [i17]Danushka Bollegala, Vincent Atanasov, Takanori Maehara, Ken-ichi Kawarabayashi:
ClassiNet - Predicting Missing Features for Short-Text Classification. CoRR abs/1804.05260 (2018) - [i16]Joshua Coates, Danushka Bollegala:
Frustratingly Easy Meta-Embedding - Computing Meta-Embeddings by Averaging Source Word Embeddings. CoRR abs/1804.05262 (2018) - [i15]James O'Neill, Danushka Bollegala:
Angular-Based Word Meta-Embedding Learning. CoRR abs/1808.04334 (2018) - [i14]James O'Neill, Danushka Bollegala:
Semi-Supervised Multi-Task Word Embeddings. CoRR abs/1809.05886 (2018) - [i13]James O'Neill, Danushka Bollegala:
Curriculum-Based Neighborhood Sampling For Sequence Prediction. CoRR abs/1809.05916 (2018) - [i12]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. CoRR abs/1811.00845 (2018) - [i11]James O'Neill, Danushka Bollegala:
Analysing Dropout and Compounding Errors in Neural Language Models. CoRR abs/1811.00998 (2018) - 2017
- [j16]Danushka Bollegala:
Dynamic feature scaling for online learning of binary classifiers. Knowl. Based Syst. 129: 97-105 (2017) - [j15]Huda Hakami, Danushka Bollegala:
Compositional approaches for representing relations between words: A comparative study. Knowl. Based Syst. 136: 172-182 (2017) - [j14]Huda Hakami, Danushka Bollegala:
A classification approach for detecting cross-lingual biomedical term translations. Nat. Lang. Eng. 23(1): 31-51 (2017) - [c59]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Classifier-Based Pattern Selection Approach for Relation Instance Extraction. CICLing (1) 2017: 418-434 - [c58]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. IC3K 2017: 43-66 - [c57]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. KDIR 2017: 61-70 - [c56]Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Claire Roberts, Katy Robson:
CLIEL: context-based information extraction from commercial law documents. ICAIL 2017: 79-87 - [c55]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Keyboard Streams: Towards Effective and Continuous Authentication. ICDM Workshops 2017: 242-249 - [c54]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Frame-Based Semantic Patterns for Relation Extraction. PACLING 2017: 51-62 - [c53]Huda Hakami, Angrosh Mandya, Danushka Bollegala:
Discovering Representative Space for Relational Similarity Measurement. PACLING 2017: 76-87 - [c52]Xia Cui, Frans Coenen, Danushka Bollegala:
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. LIDTA@PKDD/ECML 2017: 103-115 - [c51]Xia Cui, Frans Coenen, Danushka Bollegala:
TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. ECML/PKDD (2) 2017: 754-771 - [i10]Krasen Samardzhiev, Andrew Gargett, Danushka Bollegala:
Learning Neural Word Salience Scores. CoRR abs/1709.01186 (2017) - [i9]Huda Hakami, Danushka Bollegala:
Compositional Approaches for Representing Relations Between Words: A Comparative Study. CoRR abs/1709.01193 (2017) - [i8]Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Using $k$-way Co-occurrences for Learning Word Embeddings. CoRR abs/1709.01199 (2017) - [i7]Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi:
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. CoRR abs/1709.06671 (2017) - [i6]Huda Hakami, Kohei Hayashi, Danushka Bollegala:
An Optimality Proof for the PairDiff operator for Representing Relations between Words. CoRR abs/1709.06673 (2017) - 2016
- [j13]Danushka Bollegala, Tingting Mu, John Yannis Goulermas:
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28(2): 398-410 (2016) - [c50]Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning Using a Corpus and a Semantic Lexicon. AAAI 2016: 2690-2696 - [c49]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews. ArgMining@ACL 2016 - [c48]Pavithra Rajendran, Danushka Bollegala, Simon Parsons:
Assessing Weight of Opinion by Aggregating Coalitions of Arguments. COMMA 2016: 431-438 - [c47]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Keyboard Usage Authentication Using Time Series Analysis. DaWaK 2016: 239-252 - [c46]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Towards Keystroke Continuous Authentication Using Time Series Analytics. SGAI Conf. 2016: 325-339 - 2015
- [j12]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Improved sampling using loopy belief propagation for probabilistic model building genetic programming. Swarm Evol. Comput. 23: 1-10 (2015) - [c45]Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Learning Word Representations from Relational Graphs. AAAI 2015: 2146-2152 - [c44]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. ACL (1) 2015: 730-740 - [c43]Pascal Kuyten, Danushka Bollegala, Bernd Hollerit, Helmut Prendinger, Kiyoharu Aizawa:
A Discourse Search Engine Based on Rhetorical Structure Theory. ECIR 2015: 80-91 - [c42]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Embedding Semantic Relations into Word Representations. IJCAI 2015: 1222-1228 - [c41]Toshihiko Yamasaki, Yusuke Fukushima, Ryosuke Furuta, Litian Sun, Kiyoharu Aizawa, Danushka Bollegala:
Prediction of User Ratings of Oral Presentations using Label Relations. ASM@ACM Multimedia 2015: 33-38 - [i5]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Embedding Semantic Relations into Word Representations. CoRR abs/1505.00161 (2015) - [i4]Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi:
Unsupervised Cross-Domain Word Representation Learning. CoRR abs/1505.07184 (2015) - [i3]Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi:
Joint Word Representation Learning using a Corpus and a Semantic Lexicon. CoRR abs/1511.06438 (2015) - 2014
- [c40]Danushka Bollegala, David J. Weir, John Carroll:
Learning to Predict Distributions of Words Across Domains. ACL (1) 2014: 613-623 - [e1]Danushka Bollegala, Vered Shwartz:
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, *SEM 2024, Mexico City, Mexico, June 20-21, 2024. Association for Computational Linguistics 2014 [contents] - [i2]Danushka Bollegala:
Dynamic Feature Scaling for Online Learning of Binary Classifiers. CoRR abs/1407.7584 (2014) - [i1]Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Learning Word Representations from Relational Graphs. CoRR abs/1412.2378 (2014) - 2013
- [j11]Danushka Bollegala, Tomokazu Goto, Nguyen Tuan Duc, Mitsuru Ishizuka:
Improving relational similarity measurement using symmetries in proportional word analogies. Inf. Process. Manag. 49(1): 355-369 (2013) - [j10]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Minimally Supervised Novel Relation Extraction Using a Latent Relational Mapping. IEEE Trans. Knowl. Data Eng. 25(2): 419-432 (2013) - [j9]Danushka Bollegala, David J. Weir, John Carroll:
Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus. IEEE Trans. Knowl. Data Eng. 25(8): 1719-1731 (2013) - [c39]Hiroyuki Sato, Danushka Bollegala, Yoshihiko Hasegawa, Hitoshi Iba:
Learning non-linear ranking functions for web search using probabilistic model building GP. IEEE Congress on Evolutionary Computation 2013: 3371-3378 - [c38]Danushka Bollegala, Mitsuru Kusumoto, Yuichi Yoshida, Ken-ichi Kawarabayashi:
Mining for Analogous Tuples from an Entity-Relation Graph. IJCAI 2013: 2064-2070 - [c37]Muhammad Asif Hossain Khan, Danushka Bollegala, Guangwen Liu, Kaoru Sezaki:
Multi-tweet Summarization of Real-Time Events. SocialCom 2013: 128-133 - [p1]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. Multi-source, Multilingual Information Extraction and Summarization 2013: 253-276 - 2012
- [j8]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Automatic Annotation of Ambiguous Personal Names on the Web. Comput. Intell. 28(3): 398-425 (2012) - [j7]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Measuring the Degree of Synonymy between Words Using Relational Similarity between Word Pairs as a Proxy. IEICE Trans. Inf. Syst. 95-D(8): 2116-2123 (2012) - [j6]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A preference learning approach to sentence ordering for multi-document summarization. Inf. Sci. 217: 78-95 (2012) - [j5]Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka:
Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus. ACM Trans. Asian Lang. Inf. Process. 11(3): 11:1-11:33 (2012) - [c36]Nozomi Nori, Danushka Bollegala, Hisashi Kashima:
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach. AAAI 2012: 115-121 - [c35]Ken-ichi Yokote, Danushka Bollegala, Mitsuru Ishizuka:
Similarity Is Not Entailment - Jointly Learning Similarity Transformation for Textual Entailment. AAAI 2012: 1720-1726 - [c34]Hiroyuki Sato, Yoshihiko Hasegawa, Danushka Bollegala, Hitoshi Iba:
Probabilistic model building GP with Belief propagation. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c33]Francisco Tacoa, Danushka Bollegala, Mitsuru Ishizuka:
A Context Expansion Method for Supervised Word Sense Disambiguation. ICSC 2012: 339-341 - 2011
- [j4]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
A Supervised Classification Approach for Measuring Relational Similarity between Word Pairs. IEICE Trans. Inf. Syst. 94-D(11): 2227-2233 (2011) - [j3]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Automatic Discovery of Personal Name Aliases from the Web. IEEE Trans. Knowl. Data Eng. 23(6): 831-844 (2011) - [j2]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
A Web Search Engine-Based Approach to Measure Semantic Similarity between Words. IEEE Trans. Knowl. Data Eng. 23(7): 977-990 (2011) - [c32]Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka:
Cross-Language Latent Relational Search: Mapping Knowledge across Languages. AAAI 2011: 1237-1242 - [c31]Danushka Bollegala, David J. Weir, John Carroll:
Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification. ACL 2011: 132-141 - [c30]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
An adaptive differential evolution algorithm. IEEE Congress on Evolutionary Computation 2011: 2229-2236 - [c29]Haibo Li, Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Using Graph Based Method to Improve Bootstrapping Relation Extraction. CICLing (2) 2011: 127-138 - [c28]Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka:
Semi-supervised Discourse Relation Classification with Structural Learning. CICLing (1) 2011: 340-352 - [c27]Naoki Tani, Danushka Bollegala, Naiwala P. Chandrasiri, Keisuke Okamoto, Kazunari Nawa, Shuhei Iitsuka, Yutaka Matsuo:
Collaborative exploratory search in real-world context. CIKM 2011: 2137-2140 - [c26]Nasimul Noman, Danushka Bollegala, Hitoshi Iba:
Differential evolution with self adaptive local search. GECCO 2011: 1099-1106 - [c25]Danushka Bollegala, Nasimul Noman, Hitoshi Iba:
RankDE: learning a ranking function for information retrieval using differential evolution. GECCO 2011: 1771-1778 - [c24]Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Exploiting User Interest on Social Media for Aggregating Diverse Data and Predicting Interest. ICWSM 2011 - [c23]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Relation Adaptation: Learning to Extract Novel Relations with Minimum Supervision. IJCAI 2011: 2205-2210 - [c22]Nozomi Nori, Danushka Bollegala, Mitsuru Ishizuka:
Interest Prediction on Multinomial, Time-Evolving Social Graph. IJCAI 2011: 2507-2512 - [c21]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
From actors, politicians, to CEOs: domain adaptation of relational extractors using a latent relational mapping. WWW (Companion Volume) 2011: 13-14 - 2010
- [j1]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A bottom-up approach to sentence ordering for multi-document summarization. Inf. Process. Manag. 46(1): 89-109 (2010) - [c20]Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka:
A Sequential Model for Discourse Segmentation. CICLing 2010: 315-326 - [c19]Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka:
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension. EMNLP 2010: 399-409 - [c18]Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka:
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results. PRICAI 2010: 595-600 - [c17]Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuka:
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations. SIGDIAL Conference 2010: 55-58 - [c16]Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishizuka:
Using Relational Similarity between Word Pairs for Latent Relational Search on the Web. Web Intelligence 2010: 196-199 - [c15]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Relational duality: unsupervised extraction of semantic relations between entities on the web. WWW 2010: 151-160
2000 – 2009
- 2009
- [c14]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
A Relational Model of Semantic Similarity between Words using Automatically Extracted Lexical Pattern Clusters from the Web. EMNLP 2009: 803-812 - [c13]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Measuring the similarity between implicit semantic relations using web search engines. WSDM 2009: 104-113 - [c12]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Measuring the similarity between implicit semantic relations from the web. WWW 2009: 651-660 - 2008
- [c11]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
WWW sits the SAT: Measuring Relational Similarity on the Web. ECAI 2008: 333-337 - [c10]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
A Co-occurrence Graph-based Approach for Personal Name Alias Extraction from Anchor Texts. IJCNLP 2008: 865-870 - [c9]Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mitsuru Ishizuka:
Automatically Extracting Personal Name Aliases from the Web. GoTAL 2008: 77-88 - [c8]Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mitsuru Ishizuka:
Mining for personal name aliases on the web. WWW 2008: 1107-1108 - 2007
- [c7]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web. HLT-NAACL 2007: 340-347 - [c6]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Measuring semantic similarity between words using web search engines. WWW 2007: 757-766 - 2006
- [c5]Yutaka Matsuo, Masahiro Hamasaki, Yoshiyuki Nakamura, Takuichi Nishimura, Kôiti Hasida, Hideaki Takeda, Junichiro Mori, Danushka Bollegala, Mitsuru Ishizuka:
Spinning Multiple Social Networks for Semantic Web. AAAI 2006: 1381-1387 - [c4]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization. ACL 2006 - [c3]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Extracting Key Phrases to Disambiguate Personal Names on the Web. CICLing 2006: 223-234 - [c2]Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka:
Disambiguating Personal Names on the Web Using Automatically Extracted Key Phrases. ECAI 2006: 553-557 - 2005
- [c1]Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizuka:
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation. IJCNLP 2005: 624-635
Coauthor Index
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