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Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification.

, , , , , , , and . EMNLP, page 10433-10442. Association for Computational Linguistics, (2023)

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KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization., , , , , , , , , and . BioNLP@ACL, page 567-573. Association for Computational Linguistics, (2023)Learning Dense Representations of Phrases at Scale., , , and . ACL/IJCNLP (1), page 6634-6647. Association for Computational Linguistics, (2021)CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions., , , , , , and . LREC/COLING, page 3983-3996. ELRA and ICCL, (2024)Learning Dense Representations of Phrases at Scale., , , and . CoRR, (2020)Answering Questions on COVID-19 in Real-Time., , , , , , , and . NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)Can Language Models be Biomedical Knowledge Bases?, , , , , and . EMNLP (1), page 4723-4734. Association for Computational Linguistics, (2021)Data-Centric and Model-Centric Approaches for Biomedical Question Answering., , , , , , and . CLEF, volume 13390 of Lecture Notes in Computer Science, page 204-216. Springer, (2022)KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering., , , , , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 351-359. CEUR-WS.org, (2021)Transferability of Natural Language Inference to Biomedical Question Answering., , , , , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Adversarial Subword Regularization for Robust Neural Machine Translation., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1945-1953. Association for Computational Linguistics, (2020)