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The Linguistic Classification System LCS is a basic component for all
applications involving document classification, developed in the course of
the ESPRIT projects DORO and PEKING, which performs the following tasks:
- learning a classifier from pre-classified train documents
- applying a classifier to given documents to obtain a ranking of all
documents for all categories
- making, based on a computed ranking of documents for categories,
an optimal assignment of documents to categories.
Other classification systems with this functionality
are available, often in the public domain, but only LCS provides
a framework which supports the classification process in practical
situations:
- multiple classification algorithms
- de-novo training of classifiers
- incremental training and feed-back training
- multi-classification
- hierarchical classification
- cross-lingual classification
- selection according to different utility functions
- quality monitoring and reporting
The LCS system differs from others in that it can make use of linguistic
terms (Dependency Triples) to enhance its accuracy.
It has a proven track record in the classification of patent documents.
Cornelis H.A. Koster
Department of Computing Science
University of Nijmegen
6525ED Nijmegen, The Netherlands
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