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Titlebook: Lexical Semantics and Knowledge Representation; First SIGLEX Worksho James Pustejovsky,Sabine Bergler Conference proceedings 1992 Springer-

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書目名稱Lexical Semantics and Knowledge Representation
副標(biāo)題First SIGLEX Worksho
編輯James Pustejovsky,Sabine Bergler
視頻videohttp://file.papertrans.cn/586/585438/585438.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Lexical Semantics and Knowledge Representation; First SIGLEX Worksho James Pustejovsky,Sabine Bergler Conference proceedings 1992 Springer-
描述Recent work on formal methods in computational lexicalsemantics has had theeffect of bringing many linguisticformalisms much closer to the knowledgerepresentationlanguages used in artificial intelligence. Formalismsarenow emerging which may be more expressive and formallybetter understood than many knowledge representationlanguages. The interests of computational linguists nowextend to include such domains as commonsense knowledge,inheritance, default reasoning, collocational relations, andeven domain knowledge. With such an extension of the normalpurview of "linguistic" knowledge, one may question whetherthere is any logicaljustification for distinguishingbetween lexical semantics and commonsensereasoning.This volume explores the question from severalmethodologicaland theoretical perspectives. What emerges isa clear consensus that thenotion of the lexicon and lexicalknowledge assumed in earlier linguistic research is grosslyinadequate and fails to address the deeper semantic issuesrequired for natural language analysis.
出版日期Conference proceedings 1992
關(guān)鍵詞Commonsense Reasoning; Computational Linguistics; Computer-Linguistik; Natural Language Processing; Natü
版次1
doihttps://doi.org/10.1007/3-540-55801-2
isbn_softcover978-3-540-55801-9
isbn_ebook978-3-540-47288-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1992
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A two-level knowledge representation for machine translation: Lexical semantics and tense/aspect,. Temporal/aspectual information from the source-language sentence constrains the choice of target-language terms. In turn, the target-language terms limit the possibilities for generation of tense and aspect. Thus, there is a two-way communication channel between the two processes.
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Conference proceedings 1992presentationlanguages used in artificial intelligence. Formalismsarenow emerging which may be more expressive and formallybetter understood than many knowledge representationlanguages. The interests of computational linguists nowextend to include such domains as commonsense knowledge,inheritance, de
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Lexical structures for linguistic inference,lexical information in such cases, and therefore sheds more light on the distinction between lexical inferences, which follow from defaults associated with lexical items and rules of composition, and pragmatic inferences, which depend on reasoning with respect to the context of the utterance.
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Acquiring and representing semantic information in a lexical knowledge base,(e.g. as guides in the semantic analysis of the definitions, as a structure for comparing, unifying, merging, integrating information coming from different sources and different languages, as a tool for correcting ’incoherences’ in dictionaries, etc.) are described.
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