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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ... Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020 BASE Show details 2 A neural classification method for supporting the creation of BioVerbNet ... Chiu, Billy; Majewska, Olga; Pyysalo, Sampo. - : Figshare, 2019 BASE Show details 3 A neural classification method for supporting the creation of BioVerbNet ... Chiu, Billy; Majewska, Olga; Pyysalo, Sampo. - : Figshare, 2019 BASE Show details 4 Microplanning with Communicative Intentions: The SPUD System ... Stone, Matthew; Doran, Christine; Webber, Bonnie. - : arXiv, 2001 BASE Show details 5 Constraining Lexical Selection Across Languages Using TAGs ... Egedi, Dania; Palmer, Martha. - : arXiv, 1994 Abstract: Lexical selection in Machine Translation consists of several related components. Two that have received a lot of attention are lexical mapping from an underlying concept or lexical item, and choosing the correct subcategorization frame based on argument structure. Because most MT applications are small or relatively domain specific, a third component of lexical selection is generally overlooked - distinguishing between lexical items that are closely related conceptually. While some MT systems have proposed using a 'world knowledge' module to decide which word is more appropriate based on various pragmatic or stylistic constraints, we are interested in seeing how much we can accomplish using a combination of syntax and lexical semantics. By using separate ontologies for each language implemented in FB-LTAGs, we are able to elegantly model the more specific and language dependent syntactic and semantic distinctions necessary to further filter the choice of the lexical item. ... : ps file. 4 pages, Proceedings of TAG+3, 1994 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/cmp-lg/9411005 https://dx.doi.org/10.48550/arxiv.cmp-lg/9411005 BASE Hide details 6 Korean to English Translation Using Synchronous TAGs ... Egedi, Dania; Palmer, Martha; Park, Hyun S.. - : arXiv, 1994 BASE Show details 7 Verb Semantics and Lexical Selection ... Wu, Zhibiao; Palmer, Martha. - : arXiv, 1994 BASE Show details

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