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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ...
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Human-like informative conversations: Better acknowledgements using conditional mutual information ...
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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ...
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ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts ...
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Conditional probing: measuring usable information beyond a baseline ...
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Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ...
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Human-like informative conversations: Better acknowledgements using conditional mutual information ...
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Biomedical and clinical English model packages for the Stanza Python NLP library
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In: J Am Med Inform Assoc (2021)
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages ...
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection ...
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Nivre, Joakim; de Marneffe, Marie-Catherine; Ginter, Filip; Hajič, Jan; Manning, Christopher D.; Pyysalo, Sampo; Schuster, Sebastian; Tyers, Francis; Zeman, Daniel. - : arXiv, 2020
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Abstract:
Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework. The annotation consists in a linguistically motivated word segmentation; a morphological layer comprising lemmas, universal part-of-speech tags, and standardized morphological features; and a syntactic layer focusing on syntactic relations between predicates, arguments and modifiers. In this paper, we describe version 2 of the guidelines (UD v2), discuss the major changes from UD v1 to UD v2, and give an overview of the currently available treebanks for 90 languages. ... : LREC 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2004.10643 https://dx.doi.org/10.48550/arxiv.2004.10643
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Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation ...
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Finding Universal Grammatical Relations in Multilingual BERT ...
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