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Semantic relations between nominals

People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simp...

Fuld beskrivelse

Bibliografiske detaljer
Andre forfattere: Nastase, Vivi
Format: eBog
Sprog:English
Udgivet: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013.
Serier:Synthesis digital library of engineering and computer science.
Synthesis lectures on human language technologies ; # 19.
Fag:
Online adgang:Abstract with links to full text
Beskrivelse
Summary:People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspires to human-like performance must also be equipped to identify, and learn from, semantic relations in the texts it processes. Understanding even a simple sentence such as "Opportunity and Curiosity find similar rocks on Mars" requires recognizing relations (rocks are located on Mars, signalled by the word on) and drawing on already known relations (Opportunity and Curiosity are instances of the class of Mars rovers). A language-understanding system should be able to find such relations in documents and progressively build a knowledge base or even an ontology. Resources of this kind assist continuous learning and other advanced language-processing tasks such as text summarization, question answering and machine translation.
Emne beskrivelse:Part of: Synthesis digital library of engineering and computer science.
Series from website.
Fysisk beskrivelse:1 electronic text (xii, 107 p.) : ill., digital file.
Also available in print.
Format:Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Bibliografi:Includes bibliographical references (p. 85-102) and index.
ISBN:9781608459803 (electronic bk.)
ISSN:1947-4059 ;
Adgang:Abstract freely available; full-text restricted to subscribers or individual document purchasers.