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Biomedical-domain pre-trained language model for extractive summarization.

, , , and . Knowl. Based Syst., (2020)

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Biomedical-domain pre-trained language model for extractive summarization., , , and . Knowl. Based Syst., (2020)The CASIA statistical machine translation system for IWSLT 2008., , , , , , and . IWSLT, page 85-91. ISCA, (2008)A Generalized Reordering Model for Phrase-Based Statistical Machine Translation., and . AMTA, page 117-124. Association for Machine Translation in the Americas, (2008)Research on fatigue detection based on visual features., , , and . IET Image Process., 16 (4): 1044-1053 (2022)Research of Semantic Role Labeling and Application in Patent Knowledge Extraction., , and . IPaMin@KONVENS, volume 1292 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)ISTIC's Triangular Machine Translation System for WMT2021., , , , , , and . WMT@EMNLP, page 320-324. Association for Computational Linguistics, (2021)ISTIC's Neural Machine Translation System for IWSLT'2020., , , , and . IWSLT, page 158-165. Association for Computational Linguistics, (2020)A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation., , , and . COLING, page 447-455. Tsinghua University Press, (2010)Chinese Temporal Relation Resolution Based on Chinese-English Parallel Corpus., , , , and . IIKI, page 45-50. IEEE Computer Society, (2014)A New Method of Creating Patent Technology-Effect Matrix Based on Semantic Role Labeling., , and . IIKI, page 58-61. IEEE Computer Society, (2015)