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Syntax-based transfer learning for the task of biomedical relation extraction.

, , , and . J. Biomed. Semant., 12 (1): 16 (2021)

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Controllable Sentence Simplification via Operation Classification., , and . NAACL-HLT (Findings), page 2091-2103. Association for Computational Linguistics, (2022)Recurrent Greedy Parsing with Neural Networks., and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 130-144. Springer, (2014)Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification., , and . EMNLP, page 12053-12059. Association for Computational Linguistics, (2023)Neural Network-based Word Alignment through Score Aggregation., , and . WMT, page 66-73. The Association for Computer Linguistics, (2016)Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages., and . ACL (2), The Association for Computer Linguistics, (2016)Syntax-based transfer learning for the task of biomedical relation extraction., , , and . J. Biomed. Semant., 12 (1): 16 (2021)Experiments on transfer learning architectures for biomedical relation extraction., , , and . CoRR, (2020)Expérimentations autour des architectures d'apprentissage par transfert pour l'extraction de relations biomédicales., , , and . EGC, volume E-37 of RNTI, page 95-106. Éditions RNTI, (2021)Document-Level Planning for Text Simplification., , and . EACL, page 993-1006. Association for Computational Linguistics, (2023)Joint RNN-Based Greedy Parsing and Word Composition., and . ICLR (Poster), (2015)