A domain independent environment for creating information extraction modules

Ronen Feldman*, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Jonathan Schler, Benjamin Rosenfeld

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

Text-Mining is a growing area of interest within the field of Data Mining and Knowledge Discovery. Given a collection of text documents, most approaches to Text Mining perform knowledge-discovery operations either on external tags associated with each document, or on the set of all words within each document. Both approaches suffer from limitations. This paper focuses on an intermediate approach, one that we call text mining via information extraction, in which knowledge discovery takes place on focused, relevant terms, phrases and facts, as extracted from the documents.

Original languageAmerican English
Pages586-588
Number of pages3
DOIs
StatePublished - 2001
Externally publishedYes
EventProceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management - Atlanta, GA, United States
Duration: 5 Nov 200110 Nov 2001

Conference

ConferenceProceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management
Country/TerritoryUnited States
CityAtlanta, GA
Period5/11/0110/11/01

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