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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 BASE Show details 6 Korean to English Translation Using Synchronous TAGs ... Egedi, Dania; Palmer, Martha; Park, Hyun S.; Joshi, Aravind K.. - : arXiv, 1994 Abstract: It is often argued that accurate machine translation requires reference to contextual knowledge for the correct treatment of linguistic phenomena such as dropped arguments and accurate lexical selection. One of the historical arguments in favor of the interlingua approach has been that, since it revolves around a deep semantic representation, it is better able to handle the types of linguistic phenomena that are seen as requiring a knowledge-based approach. In this paper we present an alternative approach, exemplified by a prototype system for machine translation of English and Korean which is implemented in Synchronous TAGs. This approach is essentially transfer based, and uses semantic feature unification for accurate lexical selection of polysemous verbs. The same semantic features, when combined with a discourse model which stores previously mentioned entities, can also be used for the recovery of topicalized arguments. In this paper we concentrate on the translation of Korean to English. ... : ps file. 8 pages ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/cmp-lg/9410023 https://dx.doi.org/10.48550/arxiv.cmp-lg/9410023 BASE Hide details 7 Verb Semantics and Lexical Selection ... Wu, Zhibiao; Palmer, Martha. - : arXiv, 1994 BASE Show details

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