Publication list - NaCTeM Publications

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Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pages 117--125, Association for Computational Linguistics, 2017

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Li, M., Takamura, H. and Ananiadou, S., A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pages 5760-5773, 2020

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Liakata, M., Thompson, P., de Waard, A., Nawaz, R., Pander Maat, H. and Ananiadou, S., A three-way perspective on scientiï¬c discourse annotation for knowledge extraction, in: Proceedings of the ACL Workshop on Detecting Structure in Scholarly Discourse (DSSD), pages 37-46, 2012

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature, in: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023, 2023

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pages 6162-6169, 2022

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Liu, B, Schlegel, V., Thompson, P., Batista-Navarro, R. and Ananiadou, S., Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445)

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Liu, Z., Liu, B, Thompson, P., Yang, K, Jain, R. and Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, arXiv, 2024

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Liu, Z., Yang, K, Zhang, T., Xie, Q., Yu, Z. and Ananiadou, S., EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, arXiv, 2024

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Liu, Z., Zhang, T., Yang, K, Thompson, P., Yu, Z. and Ananiadou, S., Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300)

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Luo, Z., Liu, L., Xie, Q. and Ananiadou, S., Graph Contrastive Topic Model, arXiv, 2023

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Luo, Z., Xie, Q. and Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pages 1843–1852, 2023

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Luo, Z., Xie, Q. and Ananiadou, S., ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023

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Luo, Z., Xie, Q. and Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4667–4680, 2022

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Lyte, V., Jones, S., Ananiadou, S. and Kerr, L., UK Institutional Repository Search: Innovation and Discovery (2009), in: Ariadne, 61

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Matsubayashi, Y., Okazaki, N. and Tsujii, J., A Comparative Study on Generalization of Semantic Roles in FrameNet., in: Proceedings of ACL-IJCNLP 2009, pages 19--27, 2009

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Matsubayashi, Y., Okazaki, N. and Tsujii, J., Accurate and Robust Semantic Role Labeling using Multiple Generalization Criteria in PropBank, in: Proceedings of the 5th International Conference on Generative Approaches to the Lexicon, pages 97--104, 2009

Matsuoka, Y., Ghosh, S., Kikuchi, N., SÃ¦tre, R., Kemper, B., Okazaki, N., Ananiadou, S., Tsujii, J. and Kitano, H., Community Platform for Pathway Model Building, in: 10th International Conference on Systems Biology, pages 139-140, Stanford University, 2009

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Matsuzaki, T., Miyao, Y. and Tsujii, J., Efficient HPSG Parsing with Supertagging and CFG-filtering, in: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), pages 1671-1676, 2007

Matsuzaki, T., Miyao, Y. and Tsujii, J., Probabilistic CFG with Latent Annotations, in: Proceedings of ACL 2005, pages 75--82, 2005

Matsuzaki, T., Miyao, Y. and Tsujii, J., Probabilistic Context-Free Grammars with Latent Annotations, in: Supertagging - Using Complex Lexical Descriptions in Natural Language Processing, pages 337--354, MIT Press, 2010

McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W.J., Boulderstone, R., Buttery, P., Chaplin, D., Chevuru, S., Cobley, N., Coleman, L., Davey, P., Gupta, B., Haji-Gholam, L., Hawkins, C., Horne, A., Hubbard, S. J., Kim, J. -H., Lewin, I., Lyte, V., MacIntyre, R., Mansoor, S., Mason, L., McNaught, J., Newbold, E., Nobata, C., Ong, E., Pillai, S., Rebholz-Schuhmann, D., Rosie, H., Rowbotham, R., Rupp, C. J., Stoehr, P. and Vaughan, P., UKPMC: a full text article resource for the life sciences (2010), in: Nucleic Acids Research, 39:Suppl. 1(D58-D65)

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Meziane, F., Athanasakis, N. and Ananiadou, S., Generating Natural Language specifications from UML class diagrams (2008), in: Requirements Engineering, 13:1(1--18)

MihÄƒilÄƒ, C. and Ananiadou, S., The Meta-knowledge of Causality in Biomedical Scientific Discourse, in: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), Reykjavik, Iceland, pages 1984-1991, European Language Resources Association (ELRA), 2014

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MihÄƒilÄƒ, C. and Ananiadou, S., Semi-supervised learning of causal relations in biomedical scientific discourse (2014), in: BioMedical Engineering OnLine, 13:Suppl 2(S1)

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