Adaptive information extraction from structured text documents

• Autorzy: Ożdżyński P. , Zakrzewska D.
• Języki publikacji: EN

Abstrakty

EN

Effective analysis of structured documents may decide on management information systems performance. In the paper, an adaptive method of information extraction from structured text documents is considered. We assume that documents belong to thematic groups and that required set of information may be determined ”apriori”. The knowledge of document structure allows to indicate blocks, where certain information is more probable to appear. As the result structured data, which can be further analysed are obtained. The proposed solution uses dictionaries and flexion analysis, and may be applied to Polish texts. The presented approach can be used for information extraction from official letters, information sheets and product specifications.

Słowa kluczowe

EN

natural language processing; information extraction; tagging; named entity recognition

PL

przetwarzanie języka naturalnego; zdobywanie informacji; tagowanie

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Information Systems in Management
• Rocznik: 2014
• Tom: Vol. 3, No. 4
• Strony: 261--272
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Ożdżyński P.

• Institute of Information Technology, Lodz University of Technology

autor

Zakrzewska D.

• Institute of Information Technology, Lodz University of Technology

Bibliografia

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