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Can We Predict How Challenging Spoken Language Understanding Corpora Are Across Sources, Languages, and Domains?

, , , , , и . IWSDS, том 943 из Lecture Notes in Electrical Engineering, стр. 33-45. Springer, (2021)

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How to Deal with Scarce Annotations in Answer Selection., , , , и . SIGIR, стр. 917-920. ACM, (2019)Age and Gender Characterization Through a Two Layer Clustering of Online Handwriting., , , и . ACIVS, том 9386 из Lecture Notes in Computer Science, стр. 428-439. Springer, (2015)FrameNet automatic analysis : a study on a French corpus of encyclopedic texts., , и . CoRR, (2018)Semantic Frame Parsing for Information Extraction : the CALOR corpus., , , , и . LREC, European Language Resources Association (ELRA), (2018)Can We Predict How Challenging Spoken Language Understanding Corpora Are Across Sources, Languages, and Domains?, , , , , и . IWSDS, том 943 из Lecture Notes in Electrical Engineering, стр. 33-45. Springer, (2021)Unsupervised and weakly supervised approaches for answer selection tasks with scarce annotations., , , , , и . Open Comput. Sci., 9 (1): 136-144 (2019)Age-Related Evolution Patterns in Online Handwriting., , , , , , , и . Comput. Math. Methods Medicine, (2016)MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging., , и . SemEval@NAACL-HLT, стр. 107-112. Association for Computational Linguistics, (2019)SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining., , , , , и . W-NUT, стр. 238-248. Association for Computational Linguistics, (2021)Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning., , и . INTERSPEECH, стр. 799-803. ISCA, (2019)