(Enter summary)
Abstract: The paper presents on-going work towards deeper understanding
of the factors influencing the performance
of the Latent Semantic Analysis (LSA). Unlike previous
attempts that concentrate on problems such as matrix
elements weighting, space dimensionality selection,
similarity measure etc., we primarily study the
impact of another, often neglected, but fundamental
element of LSA (and of any text processing technique)
: the definition of "word". For the purpose, a
balanced corpus of... (Update)
Cited by: More
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BibTeX entry: (Update)
Nakov P., E. Valchanova, G. Angelova. Towards Deeper Understanding of LSA Performance. In Proc. Recent Advances in Natural Language Processing. pp. 311-318, Borovetz, Bulgaria, 2003. http://citeseer.ist.psu.edu/nakov03towards.html More
@misc{ nakov03towards,
author = "P. Nakov and E. Valchanova and G. Angelova",
title = "Towards Deeper Understanding of LSA Performance",
text = "Nakov P., E. Valchanova, G. Angelova. Towards Deeper Understanding of LSA
Performance. In Proc. Recent Advances in Natural Language Processing. pp.
311-318, Borovetz, Bulgaria, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/nakov03towards.html" }
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