Integrating a Lexical Database and a Training Collection for Text Categorization

Details Integrating a Lexical Database and a Training Collection for Text Categorization Integrating a Lexical Database and a Training Collection for Text Categorization

1997-09-15

arxiv.org/abs/cmp-lg/9709004v1

ACL/EACL Workshop on Automatic Extraction and Building of Lexical Semantic Resources for Natural Language Applications, 1997

Computer Science

Computation and Language

12 pages, 3 figures (2 tables)

Scientific paper

Automatic text categorization is a complex and useful task for many natural language processing applications. Recent approaches to text categorization focus more on algorithms than on resources involved in this operation. In contrast to this trend, we present an approach based on the integration of widely available resources as lexical databases and training collections to overcome current limitations of the task. Our approach makes use of WordNet synonymy information to increase evidence for bad trained categories. When testing a direct categorization, a WordNet based one, a training algorithm, and our integrated approach, the latter exhibits a better perfomance than any of the others. Incidentally, WordNet based approach perfomance is comparable with the training approach one.

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