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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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MWE-Aware English Dependency Corpus 2.0 ...
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Abstract:
Introduction MWE-Aware English Dependency Corpus Version 2.0 was developed by the Nara Institute of Science and Technology Computational Linguistics Laboratory and consists of English compound function words annotated in dependency format. The data is derived from OntoNotes Release 5.0 (LDC2013T19). Compound functions words are a type of multiword expression (MWE). MWEs are groups of tokens that can be treated as a single semantic or syntactic unit. Doing so facilitates natural language processing tasks such as constituency and dependency parsing. Version 2.0 adds annotations of named entities (persons, locations, organizations) into dependency trees that are aware of compound function words. Version 1.0 is available from LDC as MWE-Aware English Dependency Corpus (LDC2017T01). Data MWE-Aware ...
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URL: https://catalog.ldc.upenn.edu/LDC2017T16 https://dx.doi.org/10.35111/m2cs-3954
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A Psycholinguistic Model for the Marking of Discourse Relations
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In: Dialogue & Discourse; Vol 8 No 1 (2017); 106-131 ; 2152-9620 (2017)
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Topic-informed neural machine translation
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In: Zhang, Jian, Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Topic-informed neural machine translation. In: 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. (2016)
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