(Enter summary)
Abstract: In this paper, we describe an approach of using a discriminative
term selection process based on information grain (IG) to
improve the performance of the latent semantic indexing (LSI). (Update)
Context of citations to this paper: More
.... application of various natural language understanding and information retrieval techniques in NLCR, such as latent semantic indexing [2,3,4]. In natural language processing, word term classes (or clusters) are formed by clustering word terms that have some common properties...
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BibTeX entry: (Update)
Li, L. and Chou, W., "Improving Latent Semantics Indexing Based Classifier with Information Gain", Proc. of the 7th International Conference on Spoken Language Processing, 2:1141-1144, Sept. 2002. http://citeseer.ist.psu.edu/article/li02improving.html More
@misc{ li02improving,
author = "L. Li and W. Chou",
title = "Improving Latent Semantics Indexing Based Classifier with Information Gain",
text = "Li, L. and Chou, W., Improving Latent Semantics Indexing Based Classifier
with Information Gain, Proc. of the 7th International Conference on Spoken
Language Processing, 2:1141-1144, Sept. 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/article/li02improving.html" }
Citations (may not include all citations):
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