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KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish.

, , , , и . SMM4H@COLING, стр. 78-80. Association for Computational Linguistics, (2022)

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Chang-Ju Yoon

Jeong-Weon Yoon

Deok Ryong Yoon

Ho-Byung Yoon

Seok-Chan Yoon

 

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Biomedical relation extraction with knowledge base-refined weak supervision., , , , , и . Database J. Biol. Databases Curation, (2023)Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework., , , , и . EMNLP (Industry Track), стр. 619-626. Association for Computational Linguistics, (2022)Answering Questions on COVID-19 in Real-Time., , , , , , , и . NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)Learning by Semantic Similarity Makes Abstractive Summarization Better., , , , и . CoRR, (2020)KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish., , , , и . SMM4H@COLING, стр. 78-80. Association for Computational Linguistics, (2022)BioBERT: a pre-trained biomedical language representation model for biomedical text mining, , , , , , и . Bioinformatics, 36 (4): 1234-1240 (сентября 2019)Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4., , , , , и . CLEF (Working Notes), том 3497 из CEUR Workshop Proceedings, стр. 132-144. CEUR-WS.org, (2023)Transferability of Natural Language Inference to Biomedical Question Answering., , , , , , и . CLEF (Working Notes), том 2696 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Data-Centric and Model-Centric Approaches for Biomedical Question Answering., , , , , , и . CLEF, том 13390 из Lecture Notes in Computer Science, стр. 204-216. Springer, (2022)KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering., , , , , , и . CLEF (Working Notes), том 2936 из CEUR Workshop Proceedings, стр. 351-359. CEUR-WS.org, (2021)