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Spotting Spurious Data with Neural Networks., , и . NAACL-HLT, стр. 2006-2016. Association for Computational Linguistics, (2018)Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction., , , , , и . Louhi@EMNLP, стр. 165-176. Association for Computational Linguistics, (2018)Unsupervised Domain Adaptation for Clinical Negation Detection., , , и . BioNLP, стр. 165-170. Association for Computational Linguistics, (2017)Extracting Time Expressions from Clinical Text., , , , и . BioNLP@IJCNLP, стр. 81-91. Association for Computational Linguistics, (2015)Unsupervised Document Classification with Informed Topic Models., , и . BioNLP@ACL, стр. 83-91. Association for Computational Linguistics, (2016)Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition., , , , и . Comput. Linguistics, 47 (1): 181-216 (2021)Supervised methods to extract clinical events from cardiology reports in Italian., , , , , , и . J. Biomed. Informatics, (2019)Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models., , , , и . ACL (1), стр. 15746-15761. Association for Computational Linguistics, (2023)A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models., , и . ACL, стр. 1169-1178. The Association for Computer Linguistics, (2011)A Unified Syntactic Model for Parsing Fluent and Disfluent Speech., и . ACL (2), стр. 105-108. The Association for Computer Linguistics, (2008)