Todas as publicações sorted by author


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Krauthammer, M. and Nenadić, G., Term identification in the biomedical literature (2004), in: Journal of Biomedical Informatics, 37:6(512--526)
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Lapitan, F., Batista-Navarro, R. and Albacea, E., Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets, in: Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP 2016), 2016
Li, M., Myrman, A. F., Mu, T. and Ananiadou, S., Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), páginas 2873-2883, 2019
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Li, M., Nguyen, N. T. H. and Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, páginas 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), páginas 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 scientific discourse annotation for knowledge extraction, in: Proceedings of the ACL Workshop on Detecting Structure in Scholarly Discourse (DSSD), páginas 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, páginas 10846–10858, 2023
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Liu, Z., Liu, B, Thompson, P., Yang, K and Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), 2024
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Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. and Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), páginas 271–276, 2025
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Luo, Z., Liu, L., Ananiadou, S. and Xie, Q., Graph Contrastive Topic Model (2024), in: Expert Systems with Applications, 255:Part C(124631)
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