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Publikationen vom Typ Inproceedings


2021

Alhuzali, H. und Ananiadou, S., SpanEmo: Casting Multi-label Emotion Classification as Span-prediction, in: Proceedings 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), Seiten 1573–1584, 2021
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Vasquez-Rodriguez, L., Shardlow, M., Przybyɫa, P. und Ananiadou, S., The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), Seiten 57-69, 2021
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2020

Li, M., Takamura, H. und Ananiadou, S., A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Seiten 5760-5773, 2020
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El Boukkouri, H, Ferret, O., Lavergne, T., Noji, H., Zweigenbaum, P. und Tsujii, J., CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), Seiten 6903–6915, 2020
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Arase, Y. und Tsujii, J., Compositional Phrase Alignment and Beyond, in: Proceedings of EMNLP 2020, Seiten 1611–1623, 2020
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Tran, T. T., Le, P. und Ananiadou, S., Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, Seiten 7498–7505, 2020
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Thompson, P., Yates, T., Inan, E. und Ananiadou, S., Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, Seiten 1983‑1992, 2020
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2019

Li, M., Myrman, A. F., Mu, T. und 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), Seiten 2873-2883, 2019
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2018

Ju., M., Miwa, M. und Ananiadou, S., A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, Seiten 1446-1459, 2018
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Nghiem, M-. Q. und Ananiadou, S., APLenty: annotation tool for creating high-quality datasets using active and proactive learning, in: Proceedings of Empirical Methods in Natural Language Processing (System Demonstrations), 2018
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Wang, Y., Ananiadou, S. und Tsujii, J., Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018
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Zerva, C. und Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), Seiten 6-20, 2018
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2017

Thompson, P. und Ananiadou, S., Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, Seiten 180-189, 2017
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Przybyɫa, P., Soto, A. und Ananiadou, S., Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017
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