Linguistics for the Age of AI

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on appl...

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第一著者:	McShane, Marjorie (auth)
その他の著者:	Nirenburg, Sergei (auth)
フォーマット:	図書の章
出版事項:	Cambridge The MIT Press 2021
主題:	Machine learning Lexicography Cognitive science natural language understanding computational semantics computational pragmatics computational linguistics intelligent agents cognitive modelling cognitive systems AI artificial intelligence language-endowed intelligent agents natural language processing NLP language-endowed intelligent agent systems linguistic and extralinguistic scope understanding Extracting and representing meaning theories systems and models actionability explanation Theory and methodology knowledge bases incrementality microtheories Pre-semantic analysis error recovery managing complexity Modification proposition-level semantic enhancements constructions indirect speech acts non-literal language ellipsis fragments unknown words personal pronouns broad referring expressions definite descriptions anaphoric event coreference Residual ambiguities incongruities underspecification incorporating OntoAgent cognitive architecture fractured syntax treating underspecified elements Integrated NLU applications Maryland Virtual Patient cognitive robotics Model and system evaluation component-level evaluation holistic evaluation
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Linguistics for the Age of AI

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