Exploiting Lexical Regularities in Designing Natural Language Systems

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6041

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DC Field	Value	Language
dc.creator	Katz, Boris	-
dc.creator	Levin, Beth	-
dc.date	2004-10-04T14:36:43Z	-
dc.date	2004-10-04T14:36:43Z	-
dc.date	1988-04-01	-
dc.date.accessioned	2013-10-09T02:42:31Z	-
dc.date.available	2013-10-09T02:42:31Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1041	-
dc.identifier	http://hdl.handle.net/1721.1/6041	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper presents the lexical component of the START Question Answering system developed at the MIT Artificial Intelligence Laboratory. START is able to interpret correctly a wide range of semantic relationships associated with alternate expressions of the arguments of verbs. The design of the system takes advantage of the results of recent linguistic research into the structure of the lexicon, allowing START to attain a broader range of coverage than many existing systems.	-
dc.format	23 p.	-
dc.format	2203841 bytes	-
dc.format	1732858 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1041	-
dc.subject	natural language processing	-
dc.subject	lexicon	-
dc.subject	verb classes	-
dc.subject	squestion-answering	-
dc.subject	diathesis alternations	-
dc.title	Exploiting Lexical Regularities in Designing Natural Language Systems	-
Appears in Collections:	MIT Items

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