Information Extraction

Ralph Grishman

in The Oxford Handbook of Computational Linguistics

Published in print January 2005 | ISBN: 9780199276349
Published online September 2012 | e-ISBN: 9780191743573 | DOI:

Series: Oxford Handbooks in Linguistics

 Information Extraction

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Information extraction (IE) is the automatic identification of selected types of entities, relations, or events in free text. This article appraises two specific strands of IE — name identification and classification, and event extraction. Conventional treatment of languages pays little attention to proper names, addresses etc. Presentations of language analysis generally look up words in a dictionary and identify them as nouns etc. The incessant presence of names in a text, makes linguistic analysis of the same difficult, in the absence of the names being identified by their types and as linguistic units. Name tagging involves creating, several finite-state patterns, each corresponding to some noun subset. Elements of the patterns would match specific/classes of tokens with particular features. Event extraction typically works by creating a series of regular expressions, customized to capture the relevant events. Enhancement of each expression is corresponded by a relevant, suitable enhancement in the event patterns.

Keywords: automatic; name; event; linguistic analysis; tagging; patterns

Article.  5305 words. 

Subjects: Computational Linguistics

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