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Semi-supervised noise dictionary adaptation for exemplar-based noise robust speech recognition., , , , и . ICASSP, стр. 1745-1748. IEEE, (2014)Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities., , , , , , , и . ICCV, стр. 12031-12041. IEEE, (2023)The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings., , и . SemEval@NAACL-HLT, стр. 788-792. Association for Computational Linguistics, (2018)Scientific Information Extraction with Semi-supervised Neural Tagging., , и . EMNLP, стр. 2641-2651. Association for Computational Linguistics, (2017)ASQA: Factoid Questions Meet Long-Form Answers., , , и . EMNLP, стр. 8273-8288. Association for Computational Linguistics, (2022)Performance improvement of automatic pronunciation assessment in a noisy classroom., , , , , и . SLT, стр. 428-431. IEEE, (2012)Entity, Relation, and Event Extraction with Contextualized Span Representations., , , и . EMNLP/IJCNLP (1), стр. 5783-5788. Association for Computational Linguistics, (2019)PaperRobot: Incremental Draft Generation of Scientific Ideas., , , , , , и . ACL (1), стр. 1980-1991. Association for Computational Linguistics, (2019)Text Generation from Knowledge Graphs with Graph Transformers., , , , и . NAACL-HLT (1), стр. 2284-2293. Association for Computational Linguistics, (2019)A general framework for information extraction using dynamic span graphs., , , , , и . NAACL-HLT (1), стр. 3036-3046. Association for Computational Linguistics, (2019)