Learning IE rules for a set of related concepts

Authors:
J. Turmo;H. Rodríguez
Affiliations:
Universitat Politècnica de Catalunya, Barcelona, Spain;Universitat Politècnica de Catalunya, Barcelona, Spain
Venue:
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Year:
2000

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Abstract

The growing availability of on-line text has led to an increase in the use of automatic knowledge acquisition approaches from textual data. In fact, a number of Information Extraction (IE) systems has emerged in the past few years in relation to the MUC conferences. The aim of an IE system consists in automatically extracting pieces of information from text, being this information relevant for a set of prescribed concepts (scenario). One of the main drawbacks of applying IE systems is the high cost involved in manually adapting them to new domains and text styles.