BIB-VERSION:: CS-TR-v2.0
ID:: ncstrl.dartmouthcs//TR99-352
ENTRY:: June 10, 1999
ORGANIZATION:: Dartmouth College, Computer Science
TITLE:: An Application of Word Sense Disambiguation to Information Retrieval
TYPE:: Technical Report (paper)
REVISION:: 1
AUTHOR:: Whaley, Jason M.
DATE:: June 1999
RETRIEVAL:: For a paper copy, email <reports@cs.dartmouth.edu>
RETRIEVAL:: For a paper copy, write to
       Technical Report Librarian
       Department of Computer Science
       Dartmouth College
       6211 Sudikoff Laboratory
       Hanover, NH 03755-3510
       USA
RETRIEVAL:: Compressed Postscript at http://www.cs.dartmouth.edu/reports/TR99-352.ps.Z
RETRIEVAL:: PDF at http://www.cs.dartmouth.edu/reports/TR99-352.pdf
ABSTRACT:: 
The problems of word sense disambiguation and document indexing for
information retrieval have been extensively studied.  It has been
observed that indexing using disambiguated meanings, rather than word
stems, should improve information retrieval results. We present a new
corpus-based algorithm for performing word sense disambiguation. The
algorithm does not need to train on many senses of each word; it uses 
instead the probability that certain concepts will occur together.
That algorithm is then used to index several corpa of documents.  Our
indexing algorithm does not generally outperform the traditional
stem-based tf.idf model.
NOTE:: 
Undergraduate Honors Thesis.  Advisor: Jay Aslam.
END:: ncstrl.dartmouthcs//TR99-352