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Performance improvement of automatic pronunciation assessment in a noisy classroom.

, , , , , and . SLT, page 428-431. IEEE, (2012)

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