Learning Information Extraction Rules for Semi-Structured and Free Text

A wealth of on-line text information can be made available to automatic processing by information extraction (IE) systems. Each IE application needs a separate set of rules tuned to the domain and writing style. WHISK helps to overcome this knowledge-engineering bottleneck by learning text extractio...

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Bibliographic Details
Published in:Machine learning 1999-02, Vol.34 (1-3), p.233-272
Main Author: Soderland, Stephen
Format: Article
Language:English
Subjects:
Artificial intelligence
Computer engineering
Computer science
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Summary:A wealth of on-line text information can be made available to automatic processing by information extraction (IE) systems. Each IE application needs a separate set of rules tuned to the domain and writing style. WHISK helps to overcome this knowledge-engineering bottleneck by learning text extraction rules automatically. WHISK is designed to handle text styles ranging from highly structured to free text, including text that is neither rigidly formatted nor composed of grammatical sentences. Such semi-structured text has largely been beyond the scope of previous systems. When used in conjunction with a syntactic analyzer and semantic tagging, WHISK can also handle extraction from free text such as news stories.[PUBLICATION ABSTRACT]
ISSN:0885-6125
1573-0565
DOI:10.1023/a:1007562322031