Publications

@inproceedings{Zhou:EMNLP:2022,
  author = {Yi Zhou and Danushka Bollegala},  
  title = {On the Curious case of $\ell_2$ norm of Sense Embeddings},
  booktitle = {Proc. of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)},
  year = {2022}
}

@inproceedings{Kaneko:EMNLP:2022,
  url = {https://arxiv.org/abs/2205.09867},  
  author = {Kaneko, Masahiro and Bollegala, Danushka and Okazaki, Naoaki},  
  title = {Gender Bias in Meta-Embeddings},
  booktitle = {Proc. of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)},
  year = {2022}
}

@inproceedings{kaneko-etal-2022-debiasing,
    title = "Debiasing Isn{'}t Enough! {--} on the Effectiveness of Debiasing {MLM}s and Their Social Biases in Downstream Tasks",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.111",
    pages = "1299--1310",
    abstract = "We study the relationship between task-agnostic intrinsic and task-specific extrinsic social bias evaluation measures for MLMs, and find that there exists only a weak correlation between these two types of evaluation measures. Moreover, we find that MLMs debiased using different methods still re-learn social biases during fine-tuning on downstream tasks. We identify the social biases in both training instances as well as their assigned labels as reasons for the discrepancy between intrinsic and extrinsic bias evaluation measurements. Overall, our findings highlight the limitations of existing MLM bias evaluation measures and raise concerns on the deployment of MLMs in downstream applications using those measures.",
}

@article{TSUBOTA2022104185,
	author = {Tadashi Tsubota and Danushka Bollegala and Yang Zhao and Yingzi Jin and Tomotake Kozu},
	journal = {Journal of Biomedical Informatics},
	pages = {104185},
  doi = {doi.org/10.1016/j.jbi.2022.104185},
	title = {Improvement of intervention information detection for automated clinical literature screening during systematic review},
	year = {2022}}

@misc{https://doi.org/10.48550/arxiv.2208.10734,
  doi = {10.48550/ARXIV.2208.10734},  
  url = {https://arxiv.org/abs/2208.10734},  
  author = {Tang, Xiaohang and Zhou, Yi and Bollegala, Danushka},  
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},  
  title = {Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation},  
  publisher = {arXiv},  
  year = {2022},  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

@article{Durdy:2022,
	author = {Samantha Durdy and Michael Gaultois and Vladimir Gusev and Danushka Bollegala and Matthew J. Rosseinsky},
	title = {Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties},
  journal = {Digital Discovery},
	year = {2022}}
  }

@inproceedings{Bollegala:IJCAIa:2022,
	author = {Danushka Bollegala},
	booktitle = {Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI)},
	title = {Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings},
	year = {2022}}

@inproceedings{Bollegala:IJCAIb:2022,
	author = {Danushka Bollegala and James O'Neill},
	booktitle = {Proc. of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI)},
	title = {A Survey on Word Meta-Embedding Learning},
	year = {2022}}

@inproceedings{Kaneko:NAACL:2022,
	author = {Masahiro Kaneko and Aizhan Imankulova and Danushka Bollegala and Naoaki Okazaki},
	booktitle = {Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
	title = {Gender Bias in Masked Language Models for Multiple Languages},
	year = {2022}}

@inproceedings{Hakami:NAACL:2022,
	author = {Huda Hakami and Mona Hakami and Angrosh Mandya and Danushka Bollegala},
	booktitle = {Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)},
	title = {Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion},
	year = {2022}}

@inproceedings{Bollegala:LREC:2022,
	author = {Danushka Bollegala and Tomoya Machide and Ken-ichi Kawarabayash},
	booktitle = {Proc. of the 13th Language Resources and Evaluation Conference (LREC)},
	title = {Query Obfuscation by Semantic Decomposition},
	year = {2022}}

@inproceedings{Takahashi:LREC:2022,
	author = {Keigo Takahashi and Danushka Bollegala},
	booktitle = {Proc. of the 13th Language Resources and Evaluation Conference (LREC)},
	title = {Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models},
	year = {2022}}

@inproceedings{Abaho:2022,
	author = {Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},
	booktitle = {Proc. of the 21st BioNLP workshop associated with the ACL SIGBIOMED special interest group},
	title = {Position-based Prompting for Health Outcome Generation},
	year = {2022}}

@inproceedings{Zhou:2022,
	author = {Yi Zhou and Masahiro Kaneko and Danushka Bollegala},
	booktitle = {Proc. of the 60th Annual Meeting of the Association for Computational Linguistics},
	title = {Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings},
	year = {2022}}

@inproceedings{Kaneko:2022,
	author = {Masahiro Kaneko and Danushka Bollegala},
	booktitle = {Proc. of the 36th AAAI Conference on Artificial Intelligence},
	title = {Unmasking the Mask -- Evaluating Social Biases in Masked Language Models},
	year = {2022}}

@misc{kaneko2021unmasking,
      title={Unmasking the Mask -- Evaluating Social Biases in Masked Language Models}, 
      author={Masahiro Kaneko and Danushka Bollegala},
      year={2021},
      eprint={2104.07496},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{Abaho:EBJ:2020,
	author = {Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},
	journal = {European Journal for Biomedical Informatics},
	month = {September},
	number = {9},
	title = {Assessment of contextualised representations in detecting outcome phrases in clinical trials},
	volume = {17},
	year = {2021}
  }

@article{Mohammed:2021,
  author={Mohammed Alsuhaibani and Danushka Bollegala},
  title={Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications},
  journal={Knowledge-Based Intelligent Systems in E-Health and Medical Communication Services},
  year={2021},
  volume={2021},
  pages={12}
  }

@inproceedings{yi-zhou-2021-learning,
    title = "Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy",
    author = "Bollegala, Danushka  and
      Zhou, Yi",
    booktitle = "Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation",
    month = "11",
    year = "2021",
    address = "Shanghai, China",
    publisher = "Association for Computational Lingustics",
    url = "https://aclanthology.org/2021.paclic-1.2",
    pages = "11--20",
}

@article{Isonuma:TACL:2021,
  author={Masaru Isonuma and Danushka Bollegala and Junichiro Mori and Ichiro Sakata},
  title={Unsupervised Abstractive Opinion Summarization by Generating  Sentences with Tree-Structured Topic Guidance},
  journal={Transactions of the Association for Computational Linguistics (TACL)},
  volume={9},
  pages={945--961},
  year={2021}}

@inproceedings{abaho-etal-2021-detect,
    title = "Detect and Classify {--} Joint Span Detection and Classification for Health Outcomes",
    author = "Abaho, Micheal  and
      Bollegala, Danushka  and
      Williamson, Paula  and
      Dodd, Susanna",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.686",
    pages = "8709--8721",
    abstract = "A health outcome is a measurement or an observation used to capture and assess the effect of a treatment. Automatic detection of health outcomes from text would undoubtedly speed up access to evidence necessary in healthcare decision making. Prior work on outcome detection has modelled this task as either (a) a sequence labelling task, where the goal is to detect which text spans describe health outcomes, or (b) a classification task, where the goal is to classify a text into a predefined set of categories depending on an outcome that is mentioned somewhere in that text. However, this decoupling of span detection and classification is problematic from a modelling perspective and ignores global structural correspondences between sentence-level and word-level information present in a given text. To address this, we propose a method that uses both word-level and sentence-level information to simultaneously perform outcome span detection and outcome type classification. In addition to injecting contextual information to hidden vectors, we use label attention to appropriately weight both word and sentence level information. Experimental results on several benchmark datasets for health outcome detection show that our proposed method consistently outperforms decoupled methods, reporting competitive results.",
}

@inproceedings{oneill-etal-2021-wish,
    title = "{I} Wish {I} Would Have Loved This One, But {I} Didn{'}t {--} A Multilingual Dataset for Counterfactual Detection in Product Review",
    author = "O{'}Neill, James  and
      Rozenshtein, Polina  and
      Kiryo, Ryuichi  and
      Kubota, Motoko  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.568",
    pages = "7092--7108",
    abstract = "Counterfactual statements describe events that did not or cannot take place. We consider the problem of counterfactual detection (CFD) in product reviews. For this purpose, we annotate a multilingual CFD dataset from Amazon product reviews covering counterfactual statements written in English, German, and Japanese languages. The dataset is unique as it contains counterfactuals in multiple languages, covers a new application area of e-commerce reviews, and provides high quality professional annotations. We train CFD models using different text representation methods and classifiers. We find that these models are robust against the selectional biases introduced due to cue phrase-based sentence selection. Moreover, our CFD dataset is compatible with prior datasets and can be merged to learn accurate CFD models. Applying machine translation on English counterfactual examples to create multilingual data performs poorly, demonstrating the language-specificity of this problem, which has been ignored so far.",
}

@inproceedings{Fain:SIGIR:2021,
  author={Mikhail Fain and Niall Twomey and Danushka Bollegala},
  title={Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora},
  booktitle={Proc. of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)},
  pages={2106--2110},
  year={2021}}

  @inproceedings{Muhammead:DAWAK:2021,    
    title={Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank},    
    author={Iqra Muhammad and Frans Coenon and Danushka Bollegala},    
    booktitle = {Proc. of the 23rd International Conference on Big Data Analytics and Knowledge Discovery (DAWAK)},
    year={2021}
  }

@misc{2102.06603,
	author = {James O' Neill and Danushka Bollegala},
	title = {Semantically-Conditioned Negative Samples for Efficient Contrastive Learning},
	year = {2021}}

 @inproceedings{bollegala-etal-2021-relwalk,
    title = "{R}el{W}alk - A Latent Variable Model Approach to Knowledge Graph Embedding",
    author = "Bollegala, Danushka  and
      Hakami, Huda  and
      Yoshida, Yuichi  and
      Kawarabayashi, Ken-ichi",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.133",
    doi = "10.18653/v1/2021.eacl-main.133",
    pages = "1551--1565",
    abstract = "Embedding entities and relations of a knowledge graph in a low-dimensional space has shown impressive performance in predicting missing links between entities. Although progresses have been achieved, existing methods are heuristically motivated and theoretical understanding of such embeddings is comparatively underdeveloped. This paper extends the random walk model of word embeddings to Knowledge Graph Embeddings (KGEs) to derive a scoring function that evaluates the strength of a relation R between two entities h (head) and t (tail). Moreover, we show that marginal loss minimisation, a popular objective used in much prior work in KGE, follows naturally from the log-likelihood ratio maximisation under the probabilities estimated from the KGEs according to our theoretical relationship. We propose a learning objective motivated by the theoretical analysis to learn KGEs from a given knowledge graph.Using the derived objective, accurate KGEs are learnt from FB15K237 and WN18RR benchmark datasets, providing empirical evidence in support of the theory.",
}

  @inproceedings{kaneko-bollegala-2021-debiasing,
    title = "Debiasing Pre-trained Contextualised Embeddings",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.107",
    doi = "10.18653/v1/2021.eacl-main.107",
    pages = "1256--1266",
    abstract = "In comparison to the numerous debiasing methods proposed for the static non-contextualised word embeddings, the discriminative biases in contextualised embeddings have received relatively little attention. We propose a fine-tuning method that can be applied at token- or sentence-levels to debias pre-trained contextualised embeddings. Our proposed method can be applied to any pre-trained contextualised embedding model, without requiring to retrain those models. Using gender bias as an illustrative example, we then conduct a systematic study using several state-of-the-art (SoTA) contextualised representations on multiple benchmark datasets to evaluate the level of biases encoded in different contextualised embeddings before and after debiasing using the proposed method. We find that applying token-level debiasing for all tokens and across all layers of a contextualised embedding model produces the best performance. Interestingly, we observe that there is a trade-off between creating an accurate vs. unbiased contextualised embedding model, and different contextualised embedding models respond differently to this trade-off.",
}

 @inproceedings{kaneko-bollegala-2021-dictionary,
    title = "Dictionary-based Debiasing of Pre-trained Word Embeddings",
    author = "Kaneko, Masahiro  and
      Bollegala, Danushka",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-main.16",
    doi = "10.18653/v1/2021.eacl-main.16",
    pages = "212--223",
    abstract = "Word embeddings trained on large corpora have shown to encode high levels of unfair discriminatory gender, racial, religious and ethnic biases. In contrast, human-written dictionaries describe the meanings of words in a concise, objective and an unbiased manner. We propose a method for debiasing pre-trained word embeddings using dictionaries, without requiring access to the original training resources or any knowledge regarding the word embedding algorithms used. Unlike prior work, our proposed method does not require the types of biases to be pre-defined in the form of word lists, and learns the constraints that must be satisfied by unbiased word embeddings automatically from dictionary definitions of the words. Specifically, we learn an encoder to generate a debiased version of an input word embedding such that it (a) retains the semantics of the pre-trained word embedding, (b) agrees with the unbiased definition of the word according to the dictionary, and (c) remains orthogonal to the vector space spanned by any biased basis vectors in the pre-trained word embedding space. Experimental results on standard benchmark datasets show that the proposed method can accurately remove unfair biases encoded in pre-trained word embeddings, while preserving useful semantics.",
}

  
@inproceedings{Harada:ICCCIS:2021,
	author = {Atsumu Harada and Danushka Bollegala and Naiwala P. Chandrasiri},
	booktitle = {Proc. of IEEE International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)},
	title = {Discrimination of Human-Written and Human and Machine-written Sentences using Text Consistency},
	year = {2021}}

  @inproceedings{Mandya:COLING:2020,    
    title={Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    booktitle = {Proc. of the 28th International Conference on Computational Linguistics (COLING)},  
    year={2020}
  }

  @inproceedings{Kaneko:COLING:2020,    
    title={Autoencoding Improves Pre-trained Word Embeddings},    
    author={Masahiro Kaneko and Danushka Bollegala},    
    booktitle = {Proc. of the 28th International Conference on Computational Linguistics (COLING)},  
    year={2020}
  }

@article{ATKINSON:2020,
	Author = {Atkinson, Katie and Bench-Capon, Trevor and Bollegala, Danushka},
	Journal = {Artificial Intelligence},
	Pages = {103387},
	Title = {Explanation in AI and law: Past, present and future},
	Volume = {289},
	Year = {2020}}

@incollection{Zhou_2020,
	author = {Yi Zhou and Danushka Bollegala},
	booktitle = {Communications in Computer and Information Science},
	pages = {3--23},
	publisher = {Springer International Publishing},
	title = {Predicting the Quality of Translations Without an Oracle},
	year = 2020}

@article{Khemchandani:2020,
	Author = {Khemchandani, Yash and O'Hagan, Steve and Samanta, Soumitra and Swainston, Neil and Roberts, Timothy J and Bollegala, Danushka and Kell, Douglas},
	Journal = {Journal of Cheminformatics},
	Title = {DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach},
	Year = {2020}}

@inproceedings{Cao:IROS:2020,
	Author = {Cao, Guanqun and Zhou, Yi and Bollegala, Danushka and Luo., Shan},
	Booktitle = {Proc. of the International Conference on Intelligent Robots and Systems (IROS)},
	Title = {Spatio-temporal Attention Model for Tactile Texture Recognition Spatio-temporal Attention Model for Tactile Texture Recognition},
	Year = {2020}
  }

 @misc{saeed2020weaklysupervised,
    title={Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents},
    author={Asir Saeed and Khai Mai and Pham Minh and Nguyen Tuan Duc and Danushka Bollegala},
    year={2020},
    eprint={2005.03066},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

  @misc{Mandya:CGAT:2020,    
    title={Contextualised Graph Attention for Improved Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    eprint={2004.10624},
    archivePrefix={arXiv},
    primaryClass={cs.CL}    
    year={2020}
  }

  @inproceedings{Cui:2020,    
    title={Multi-source Attention for Unsupervised Domain Adaptation},    
    author={Xia Cui and Danushka Bollegala},    
    booktitle = {Proc. of 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and the 10th International Joint Conference on Natural Language Processing (IJCNLP)},  
    pages = {873--883},
    year={2020}
  }

  @inproceedings{Isonuma:ACL:2020,    
    title={Tree-Structured Neural Topic Model},    
    author={Masaru Isonuma and Junichiro Mori and Danushka Bollegala and Ichiro Sakata},    
    booktitle={Proc. of the 20th Annual Conference of the Association for Computational Linguistics (ACL)},    
    year={2020}
  }

  @inproceedings{Bollegala:LREC:2020,    
    title={Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction},    
    author={Danushka Bollegala and Ryuichi Kiryo and Kosuke Tsujino and Haruki Yukawa},    
    booktitle={Proc. of the 12th International Conference on Language Resources and Evaluation (LREC)},    
    year={2020}
  }

  @inproceedings{Mandya:LREC:2020,    
    title={Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering},    
    author={Angrosh Mandya and James O' Neill and Danushka Bollegala and Frans Coenen},    
    booktitle={Proc. of the 12th International Conference on Language Resources and Evaluation (LREC)},    
    year={2020}
  }

  @inproceedings{ONeill:ECAI:2020,    
    title={Meta-Embedding as Auxiliary Task Regularization},    
    author={James O'Neill and Danushka Bollegala},    
    booktitle={Proc. of the 24th European Conference on Artificial Intelligence (ECAI)},    
    year={2020}
  }

  @inproceedings{Torisi:JURIX:2019,    
    title={Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents},    
    author={Alessandro Torrisi and Robert Bevan and Danushka Bollegala and Katie Atkinson and Frans Coenon},    
    booktitle={Proc. of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX)},    
    year={2019}
  }

  @misc{fain2019dividing,
    title={Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA},
    author={Mikhail Fain and Andrey Ponikar and Ryan Fox and Danushka Bollegala},
    year={2019},
    eprint={1911.12763},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

  @inproceedings{ONeill:PACLING:2019,    
    title={Learning to Evaluate Neural Language Models},    
    author={James O'Neill and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019}
  }

  @inproceedings{Chen:PACLING:2019,    
    title={Learning to Compose Relational Embeddings in Knowledge Graphs},    
    author={Wenye Chen and Huda Hakami and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

  @inproceedings{Huda:PACLING:2019,    
    title={Context-guided Self-Supervised Relation Embeddings},    
    author={Huda Hakami and Danushka Bollegala},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

@inproceedings{Pavithra:PACLING:2019,
    Author = {Rajendran, Pavithra and Bollegala, Danushka and Parsons, Simon},
    Booktitle = {Proc. of PACLING},
    Title = {A Pilot Study on Argument Simplificatoin in Stance-based Opinions},
    Year = {2019}
}

  @inproceedings{Mandya:PACLING:2019,    
    title={Evaluating Co-reference Chains based Conversation History in Conversational Question Answering},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenon},    
    booktitle={Proc. of the 16th International Conference of the Pacific Association for Computational Linguistics (PACLING)},    
    year={2019} 
  }

  @inproceedings{Cui:RANLP:2019,    
    title={Self-Adaptation for Unsupervised Domain Adaptation},    
    author={Xia Cui and Danushka Bollegala},    
    booktitle={Proc. of the Recent Advances in Natural Language Processing (RANLP)},    
    year={2019} 
  }

  
@inproceedings{kaneko-bollegala-2019-gender,
    Address = {Florence, Italy},
    Author = {Kaneko, Masahiro and Bollegala, Danushka},
    Booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
    Month = July,
    Pages = {1641--1650},
    Publisher = {Association for Computational Linguistics},
    Title = {Gender-preserving Debiasing for Pre-trained Word Embeddings},
    Year = {2019}}

  @inproceedings{Zhou:KDIR:2019,    
    title={Unsupervised Evaluation of Human Translation Quality},    
    author={Yi Zhou and Danushka Bollegala},    
    booktitle={Proc. of the 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR)},  
    vol = {1},
    pages = {55--64}, 
    year={2019} 
  }

  @inproceedings{Abaho:KDH:2019,    
    title={Correcting Crowdsourced annotations to Improve Detection of Outcome types in Evidence Based Medicine},    
    author={Micheal Abaho and Danushka Bollegala and Paula Williamson and Susanna Dodd},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019} 
  }
  

  @inproceedings{ONeill:KDH:2019,    
    title={Tick Parasitism Classification from Noisy Medical Records},    
    author={James O'Neill and Danushka Bollegala and Peter Noble and Alan Radford},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019} 
  }
  

  @inproceedings{Bevan:KDH:2019,    
    title={Extracting Supporting Evidence from Medical Negligence Claim Texts},    
    author={Robert Bevan and Alessandro Torrisi and Danushka Bollegala and Frans Coenen and Katie Atkinson},    
    booktitle={Proc. of the 4th International Workshop on Knowledge Discovery in Healthcare Data (KDH) at the 28th International Joint Conference on Artificial Intelligence},    
    year={2019}, 
  }
  

  @inproceedings{Torisi:ICAIL:2019,    
    title={Automated Bundle Pagination Using Machine Learning},    
    author={Alessandro Torrisi and Robert Bevan and Danushka Bollegala and Katie Atkinson and Frans Coenon},    
    booktitle={Proc. of the 17th International Conference on Artificial Intelligence and Law (ICAIL)},    
    year={2019} 
  }

  @inproceedings{Hakami:AKBC:2019,    
    title={Learning Relation Representations from Word Representations},    
    author={Huda Hakami and Dansuhka Bollegala},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=r1e3WW5aTX},   
  }

  @inproceedings{Alsuhaibani:AKBC:2019,    
    title={Joint Learning of Hierarchical Word Embeddings from a Corpus and a Taxonomy},    
    author={Mohammed Alsuhaibani and Takanori Maehara and Dansuhka Bollegala},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=S1xf-W5paX},   
  }

  @inproceedings{Angrosh:AKBC:2019,    
    title={Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction},    
    author={Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},    
    booktitle={Proc. of the Automated Knowledge Base Construction Conference},    
    year={2019},    
    url={https://openreview.net/forum?id=Sye0lZqp6Q},   
  }

@inproceedings{Luo:ICRA:2019,
   author = {Shan Luo and Jet-Tsyn Lee and Danushka Bollegala},
    title = {"Touching to See" and "Seeing to Feel": Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception},
  booktitle = {Proc. of IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {4276--4282},
  year = {2019}
}

  @article{DBLP:journals/corr/abs-1902-10118,
  author    = {Thai{-}Hoang Pham and
               Khai Mai and
               Minh Trung Nguyen and
               Nguyen Tuan Duc and
               Danushka Bollegala and
               Ryohei Sasano and
               Satoshi Sekine},
  title     = {Multi-Task Learning with Contextualized Word Representations for Extented
               Named Entity Recognition},
  journal   = {CoRR},
  volume    = {abs/1902.10118},
  year      = {2019},
  url       = {http://arxiv.org/abs/1902.10118},
  archivePrefix = {arXiv},
  eprint    = {1902.10118},
  timestamp = {Tue, 21 May 2019 18:03:39 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1902-10118.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@InProceedings{Abdullah:2019,
  author={Alshehri, Abdullah and Coenen, Frans and Bollegala, Danushka},
  editor={Fred, Ana and Aveiro, David and Dietz, Jan L. G. and Liu, Kecheng and Bernardino, Jorge and Salgado, Ana and Filipe, Joaquim},
  title={Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain},
  booktitle={Knowledge Discovery, Knowledge Engineering and Knowledge Management},
  year={2019},
  publisher={Springer International Publishing},
  address={Cham},
  pages={43--66},
  isbn={978-3-030-15640-4}
}

@inproceedings{Beven:JURIX:2018,
   author = {Robert Bevan and Alessandro Torrisi and Danushka Bollegala and Katie Atkinson and Frans Coenen},
    title = {Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning},
  booktitle = {Proc. of the 31st International Conference on Legal Knoweledge and Information Systems (JURIX)},
  pages = {171--175},
  year = {2018}
}

@inproceedings{Huda:COLING:2018,
   author = {Huda Hakami and Kohei Hayashi and Danushka Bollegala},
    title = {Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection},
  booktitle = {Proc. of the 27th International Conference on Computational Linguistics (COLING)},
  pages = {2493--2504},
  year = {2018}
}

@inproceedings{Cong:COLING:2018,
   author = {Cong Bao and Danushka Bollegala},
    title = {Learning Word Meta-Embeddings by Autoencoding},
  booktitle = {Proc. of the 27th International Conference on Computational Linguistics (COLING)},
  pages = {1650--1661},
  year = {2018}
}

@inproceedings{Mai:COLING:2018,
   author = {Khai Mai and Thai­Hoang Pham and Minh Trung Nguyen and Nguyen Tuan Duc and Danushka Bollegala and Ryohei Sasano and Satoshi Sekine},
    title = {Which Model Performs Best in This Situation? An Empirical Study on Fine­Grained Named Entity Recognition},
  booktitle = {Proc. of the 27th International Conference on Computational Linguistics (COLING)},
  pages = {711--722},
  year = {2018}
}

@inproceedings{Bollegala:IJCAI:2018,
   author = {Danushka Bollegala and Kohei Hayashi and Ken-ichi Kawarabayashi},
    title = {Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words},
  booktitle = {Proc. of IJCAI-EACI},
  pages = {3970--3976},
  year = {2018}
}

@inproceedings{Cui:SEM:2018,
  author = {Xia Cui and Kojaku Sadamori and Naoki Masuda and Danushka Bollegala},
  title = {Solving Feature Spareness in Text Classification using Core-Periphery Decomposition},
  booktitle = {Seventh Joint Conference on Lexical and Computational Semantics},
  pages = {255--264},
  year = {2018}
}

@inproceedings{Smardzhiev:SEM:2018,
  author = {Krasen Samardzhiev and Andrew Gargett and Danushka Bollegala},
  title = {Learning Neural Word Salience Scores},
  booktitle = {Proc. of the Seventh Joint Conference on Lexical and Computational Semantics},
  pages = {33--42},
  year = {2018}
}

@article{Bollegala:TKDD:2018,
  author = {Danushka Bollegala and Vincent Atanasov and Takanori Maehara and Ken-ichi Kawarabayashi},
  title = {ClassiNet -- Predicting Missing Features for Short-Text Classification},
  journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
  pages = {1--29},
  year = {2018}
}

@article{Bollegala:JMIR:2018,
  author = {Danushka Bollegala and Richard Slone and Simon Maskell and Joanna Hajne and Munir Pirmohamed},
  title = {Learning Causality Patterns for Detecting Adverse Drug Reactions from Social Media},
  journal = {Journal of Medical Internet Research Public Health Surveillance},
  pages = {1--20},
  year = {2018}
}

@inproceedings{Coates:NAACL:2018,
  author = {Joshua Coates and Danushka Bollegala},
  title = {Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings},
  booktitle = {Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages = {194--198},
  year = {2018}
}

@inproceedings{Rajendran:NAACL:2018,
  author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
  title = {Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset},
  booktitle = {Proc. of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  pages = {28--34},
  year = {2018}
}

@article{Xia:KER:2018,
  author = {Xia Cui and Noor Al-Bazzaz and Danushka Bollegala and Frans Coenen},
  title = {A Comparative Study of Pivot Selection Strategies for  Unsupervised Cross-Domain Sentiment Classification},
  journal = {The Knowledge Engineering Review},
  volume = {33},
  pages = {e5},
  year = {2018}
}

@article{Mohammed:PlosOne:2018,
  author = {Mohammed Alsuhaibani and Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
  title = {Jointly Learning Word Embeddings Using a Corpus and a Knowledge Base},
  journal = {Plos One},
  volume = {13},
  number = {3},
  pages = {1--26},
  doi = {doi.org/10.1371/journal.pone.0193094},
  year = {2018}
}

@article{Abdullah:KI:2018,
  author = {Abdullah Alsheri and Frans Coenen and Danushka Bollegala},
  title = {Iterative Time Keystroke Continuous Authentication: A Time Series Based Approach},
  journal = {KI - Künstliche Intelligenz},
  volume = {32},
  number = {1},
  pages = {1--13},
  year = {2018}
}

@InProceedings{ALSUHAIBANI18.393,
  author = {Mohammed Alsuhaibani and Danushka Bollegala},
  title = "{Joint Learning of Sense and Word Embeddings}",
  booktitle = {Proc. of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  pages = {1--7},
  language = {english}
  }
  

@InProceedings{RAJENDRAN18.126,
  author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
  title = "{Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
   pages = {1--7},
  language = {english}
  }
  

@InProceedings{MANDYA18.790,
  author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
  title = "{A Dataset for Inter-Sentence Relation Extraction using Distant Supervision}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
   pages = {1--7},
  language = {english}
  }
  

@ARTICLE{Bollegala:AAAI:2018,
   author = {Danushka Bollegala and Yuichi Yoshida and Ken-ichi Kawarabayashi},
    title = "{Using $k$-way Co-occurrences for Learning Word Embeddings}",
  inproceedings = {Proc. of the 32-nd AAAI Conference on Artificial Intelligence},
  pages = {5037--5044},
     year = {2018}
}
  

@inproceedings{Alsheri:ICISSP:2017,
Title = {Spectral Analysis of Keystroke Streams: Towards Effective Real-Time Continuous User Authentication},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {4th International Conference on Information Systems Security and Privacy (ICISSP)},
Year = {2017},
pages = {62--73}
}

@article{Bollegala:PLoS:2017,
  Author = {Danushka Bollegala and Kohei Hayashi and Ken-ichi Kawarabayashi},
  Journal = {PLoS ONE},
  volume = {12},
  number = {9},
  pages = {1--21},
  Month = {September},
  Title = {Learning Linear Transformations between Counting-based and Prediction-based Word Embeddings},
  Year = {2017}}
  

@article{Huda:KBS:2017,
  Author = {Huda Hakami and Danushka Bollegala},
  Journal = {Knowledge-Based Systems},
  Month = {September},
  Title = {Compositional approaches for Representing Relations Between Words: A Comparative Study},
  pages = {172--182},
  volume = {136C},
  Year = {2017}}
  

@inproceedings{Alsheri:IC3K:2017,
Title = {Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of the 9th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K)},
Year = {2017},
DOI = {10.5220/0006497200610070},
pages = {61--70}
}

@inproceedings{Alsheri:ICDM:2017,
Title = {Spectral Analysis of Keystroke Streams: Towards Effective Real-Time and Continuous User Authentication},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of Workshop on Spatial and Spatio-temporal Data Mining (SSTDM) at the IEEE International Conference on Data Mining (SSTDM)},
Year = {2017}
}

@inproceedings{Xia:LIDTA:2017,
Title = {Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies},
Author = {Xia Cui and Frans Coenen and Danushka Bollegala},
Booktitle = {Proc. of the Wokshop on Learning With Imbalanced Domains: Theory and Applications (LIDTA) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
issue = {74},
Year = {2017},
pages = {103--115}
}

@inproceedings{Xia:ECML:2017,
Title = {TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation},
Author = {Xia Cui and Frans Coenen and Danushka Bollegala},
Booktitle = {Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)},
Year = {2017},
pages = {754--771}
}

@article{Kajiwara:2017,
  Author = {Tomoyuki Kajiwara and Danushka Bollegala and Yuichi Yoshida and Ken-ichi Kawarabayashi},
  Journal = {PLoS ONE},
  Volume = {12},
  number = {9},
  Month = {July},
  Title = {An Iterative Approach for the Global Estimation of Sentence Similarity},
  Year = {2017}}
  

@article{Bollegala:KBS:2017,
  Author = {Danushka Bollegala},
  Journal = {Knowledge-Based Systems},
  Month = {May},
  Title = {Dynamic Feature Scaling for Online Learning of Binary Classifiers},
  Volume = {129},
  Pages = {97-105},
  Year = {2017}}
  

@inproceedings{Huda:PACLING:2017,
Title = {Discovering Representative Space for Relational Similarity Measurement},
Author = {Huda Hakami and Angrosh Mandya and Danushka Bollegala},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {76--87}
}

@inproceedings{Pavithra:PACLING:2017,
Title = {Identifying Argument based Relation Properties in Opinions},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {1--12}
}

@inproceedings{Angrosh:PACLING:2017,
Title = {Frame-based Semantic Patterns for Relation Extraction},
Author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
Booktitle = {Proc. of the 15th International Conference of the Pacific Association for Computational Linguistics (PACLING)},
Year = {2017},
pages = {51--62}
}

@inproceedings{Matias:ICAIL:2017,
Title = {CLIEL: Context-Based Information Extraction from Commercial Law Documents},
Author = {Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Clare Roberts, and Katy Robson},
Booktitle = {Proc. of the 16th International Conference on Artificial Intelligence and Law (ICAIL)},
Year = {2017},
DOI = {10.1145/3086512.3086520},
pages = {79--87}
}

@inproceedings{Mandya:CICLing:2017,
Title = {Classifier-based Pattern Selection Approach for Relation Instance Extraction},
Author = {Angrosh Mandya and Danushka Bollegala and Frans Coenen and Katie Atkinson},
Booktitle = {Proc. of the International Conference on Computational Linguistics and Intelligent Text Processing (CICLing)},
Year = {2017},
pages = {1--16},
Publisher = {LNCS, Springer}
}

@inproceedings{Alsheri:SGAI:2016,
Title = {Towards Keystroke Continuous Authentication Using Time Series Analytics},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of the 36th SGAI International Conference on Artificial Intelligence (SGAI), Research and Development in Intelligent Systems XXXIIII},
Year = {2016},
pages = {325--339},
Publisher = {Springer}
}

@inproceedings{Rajendran:COMMA:2016,
Title = {Assessing weight of opinion by aggregating coalitions of arguments},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of 6th International Conference on Computational Models of Argument (COMMA)},
Year = {2016},
pages = {431--438},
Location = {Postdam, Germany}
}

@inproceedings{Rajendran:ARGMINING:2016,
Title = {Contextual Stance Classification of Opinions: A Step Towards Enthymeme Reconstruction in Online Reviews},
Author = {Pavithra Rajendran and Danushka Bollegala and Simon Parsons},
Booktitle = {Proc. of 3rd Workshop on Argument Mining at Annual Conference of the Association for Computational Linguistics},
Year = {2016},
pages = {31--39},
Location = {Berlin, Germany}
}

@inproceedings{Alsheri:DAWAK:2016,
Title = {Keyboard Usage Authentication using Time Series Analysis},
Author = {Abdullah Alsheri and Frans Coenen and and Danushka Bollegala},
Booktitle = {Proc. of 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWak 2016)},
Year = {2016},
pages = {239--252},
Location = {Porto, Portugal}
}

@inproceedings{Bollegala:AAAI:2016,
Title = {Joint Word Representation Learning using a Corpus and a Semantic Lexicon},
Author = {Danushka Bollegala and Mohammed Alsuhaibani and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 30th AAAI Conference on Artificial Intelligence (AAAI)},
Year = {2016},
pages = {2690-- 2696},
Location = {Arizona, USA}
}

      @article{Huda:JNLE:2015,
      Title = {A Classification Approach for Detecting Cross-lingual Biomedical Term Translations},
      Author = {Huda Hakami and Danushka Bollegala},
      Journal = {Journal of Natural Language Engineering},
      Year = {2015},
      pages = {1--21},
      vol = {1},
      no = {1469-8110}
      }

@inproceedings{Bollegala:ACL:2015,
Title = {Learning Word Representations from Relational Graphs},
Author = {Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 53rd Annual Meeting of the Association for Computational Linguistics (ACL), and the 7th International
Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (IJCNLP)},
Year = {2015},
pages = {730 -- 741},
Location = {Beijing, China}
}

@inproceedings{Bollegala:IJCAI:2015,
Title = {Embedding Semantic Relations into Word Representations},
Author = {Danushka Bollegala and Takanori Maehara and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of International Joint Conferences on Artificial Intelligence (IJCAI)},
Year = {2015},
pages = {1222 -- 1228},
Location = {Buenos Aires, Argentina}
}

@article{Bollegala:TKDE:2015,
Title = {Cross-domain Sentiment Classification using Sentiment Sensitive Embeddings},
Author = {Danushka Bollegala and Tingting Mu and John Y. Goulermas},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2015},
pages = {398--410},
vol = {28},
no = {2}
}

@inproceedings{Kuyten:ECIR:2015,
Title = {A Discourse Search Engine based on Rhetorical Structure Theory},
Author = {Pascal Kuyten and Danushka Bollegala and Bernd Hollerit and Helmut Prendinger and Kiyoharu Aizawa},
Booktitle = {Proc. of 37th European Conference on Information Retrieval (ECIR 2015)},
Year = {2015},
pages = {80--91},
Location = {Vienna, Austria}
}

@article{Sloane:BJC:2015,
Title = {Social Media and Pharmacovigilance: A Review of the Opportunities and Challenges},
Author = {Richard Sloane and Orod Osanlou and David Lewis and Danushka Bollegala and Simon Maskell and Munir Pirmohamed},
Journal = {British Journal of Clinical Pharmacology},
Year = {2015},
pages = {910--920},
vol = {80},
no = {4}
}

@inproceedings{Bollegala:AAAI:2015,
Title = {Learning Word Representations from Relational Graphs},
Author = {Danushka Bollegala and Takanori Maehara and Yuichi Yoshida and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 29th AAAI Conference on Artificial Intelligence (AAAI)},
Year = {2015},
pages = {2146--2152},
Location = {Texas, USA}
}

@article{Bollegala:PLOS:2015,
Title = {A Cross-lingual Similarity Measure for Detecting Biomedical Term Translations},
Author = {Danushka Bollegala and Georgios Kontonatsios and Sophia Ananiadou},
Journal = {PLoS ONE},
Year = {2015},
pages = {1--28},
vol = {10},
no = {6}
}

@article{Nori:TJSAI:2015,
Title = {Interest Prediction via User's Actions on Social Media},
Author = {Nozomi Nori and Danushka Bollegala and Mitsuru Ishizuka},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2015},
pages = {168--176},
vol = {30},
no = {4}
}

@article{Sato:2015,
Title = {Improved sampling using loopy belief propagation for probabilistic model building genetic programming},
Author = {Hiroyuki Sato and Yoshihiko Hasegawa and Danushka Bollegala and Hitoshi Iba},
Journal = {Swarm and Evolutionary Computation},
Year = {2015},
pages = {1--8},
vol = {23}
}

@article{Nori:2015b,
Title = {Simultaneous Higher-order Relation Prediction via Collective Indicence Matrix Embedding},
Author = {Nozomi Nori and Danushka Bollegala and Hisashi Kashima},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2015},
pages = {459--465},
vol = {30},
no = {2}
}

@inproceedings{Bollegala:ACL:2014,
Title = {Learning to Predict Distributions of Words across Domains},
Author = {Danushka Bollegala and David Weir and John Carroll},
Booktitle = {Proc. of Annual Conference of the Association for Computational Linguistics (ACL 2014)},
Year = {2014},
pages = {613 -- 623},
Location = {Baltimore, USA}
}

@article{Nori:2014,
Title = {A Dimension Reduction Approach to Multinomial Relation Prediction},
Author = {Nozomi Nori and Danushka Bollegala and Hisashi Kashima},
Journal = {Transactions of the Japanese Society for Artificial Intelligence},
Year = {2014},
pages = {168--176},
vol = {29},
no = {1}
}

@inproceedings{Bollegala:IJCAI:2013,
Title = {Mining for Analogous Tuples from an Entity-Relation Graph},
Author = {Danushka Bollegala and Mitsuru Kusumoto and Yuichi Yoshida and Ken-ichi Kawarabayashi},
Booktitle = {Proc. of 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)},
Year = {2013},
pages = {2064 -- 2070},
Location = {Beijing, China}
}

@inproceedings{Khan:SC:2013,
Title = {Multi-Tweet Summarization of Real-Time Events},
Author = {Muhammad Asif Hossain Khan and Danushka Bollegala and Guangwen Liu and Kaoru Sezaki},
Booktitle = {Proc. of ASE/IEEE International Conference on Social Computing},
Year = {2013},
pages = {128 -- 133},
Location = {Washington, USA}
}

@inproceedings{Sato:CEC:2013,
Title = {Learning Non-linear Ranking Functions for Web Search using Probabilistic Model Building GP},
Author = {Hiroyuki Sato and Danushka Bollegala and Yoshihiko Hasegawa and Hitoshi Iba},
Booktitle = {Proc. of IEEE Congress on Evolutionary Computation (CEC 2013)},
Year = {2013},
pages = {3371 -- 3378},
Location = {Cancun, Mexico}
}

@article{Khan:ASE:2013,
Title = {Delineating Real-Time Events by Identifying Relevant Tweets with Popular Discussion Points},
Author = {Muhammad Asif Hossain Khan and Danushka Bollegala and Guangwen Li and Kaoru Sezaki},
Journal = {ASE Human Journal},
Year = {2013},
pages = {136--150},
vol = {2},
no = {3}
}

@article{Bollegala:TJSAI:2014,
Title = {Deep Learning for Natural Language Processing},
Author = {Danushka Bollegala},
Journal = {Journal of the Japanese Society for Artificial Intelligence},
Year = {2013},
pages = {195--203},
vol = {29},
no = {2}
}

@article{Bollegala:PLOS:2014,
Title = {Metaphor Interpretation using Paraphrases Extracted from the Web},
Author = {Danushka Bollegala and Ekaterina Shutova},
Journal = {PLoS ONE},
Year = {2014},
pages = {1--20},
vol = {8},
no = {9}
}

@article{Yokote:JSAI:2013,
Title = {Jointly Learning Similarity Transformations for Textual Entailment},
Author = {Ken-ichi Yokote and Danushka Bollegala and Mitsuru Ishizuka},
Journal = {Transactions of of the Japanese Society for Artificial Intelligence},
Year = {2013},
pages = {220--229},
vol = {8},
no = {2}
}

@article{Bollegala:IPM:2013,
Title = {Improving Relational Similarity Measurement using Symmetries in Proportional Word Analogies},
Author = {Danushka Bollegala and Tomokazu Goto and Nguyen Tuan Duc and Mitsuru Ishizuka},
Journal = {Information Processing and Management Journal},
Year = {2013},
pages = {355--369},
vol = {49},
no = {1}
}

@article{Bollegala:TKDE:2013,
Title = {Cross-Domain Sentiment Classification using a Sentiment Sensitive Thesaurus},
Author = {Danushka Bollegala and David Weir and John Carroll},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2013},
pages = {1719--1731},
vol = {25},
no = {8}
}

@article{Bollegala:TKDE:2013b,
Title = {Minimally Supervised Novel Relation Extraction using Latent Relational Mapping},
Author = {Danushka Bollegala and Yutaka Matsuo and Mitsuru Ishizuka},
Journal = {IEEE Transactions on Knowledge and Data Engineering (TKDE)},
Year = {2013},
pages = {419--432},
vol = {25},
no = {2}
}