Incremental extraction of domain-specific terms from online text resources

Chien, Lee-Feng; Chen, Chun-Liang

doi:10.1075/nlp.2.05chi

In:Recent Advances in Computational Terminology
Edited by Didier Bourigault, Christian Jacquemin and Marie-Claude L'Homme
[Natural Language Processing 2] 2001
► pp. 89–109

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Incremental extraction of domain-specific terms from online text resources

Lee-Feng Chien | Institute of Information Science, Academia Sinica

Chun-Liang Chen | Dept. of CS and IE, National Taiwan University

Published online: 15 June 2001

https://doi.org/10.1075/nlp.2.05chi

Incremental extraction of domain-specific terms from online text resources is necessary in many information retrieval (IR) and natural language processing (NLP) applications. The purpose of this paper is to present an efficient approach which can classify online text collections from the Internet dynamically and extract domain-specific terms incrementally. This approach is developed through a successful integration of PAT-tree indexing, term extraction and document classification techniques.

Cited by (2)

Cited by two other publications

Daille, Béatrice

2003. Terminology Mining. In Information Extraction in the Web Era [Lecture Notes in Computer Science, 2700], ► pp. 29 ff.

Langlais, Philippe

2002. Review of Bourigault, Jacquemin & L’Homme (2001): Recent Advances in Computational Terminology. Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication 8:1 ► pp. 167 ff.

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