(Enter summary)
Abstract: this paper, I will describe a set of three techniques which claim to use
corpus-based statistical methods to try to solve the problem of word sense disambiguation.
As an introduction I will describe briefly some of the range of approaches which have been
applied to this task. I will further indicate the limitations on scalability of these techniques
which motivated the shift to automatic machine-learning techniques trained of large corpora
for this task. Then I will embark on a careful... (Update)
Context of citations to this paper: More
.... to solve this problem, some researchers decided to use pre coded informa tion in the form of machine readable dictionaries and thesauri [10] [13] Others started to build their own dictionaries and thesauri with information concluded from statistics over large corpora. This...
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BibTeX entry: (Update)
Gina-Anne Levow. Corpus-based techniques for Word Sense Disambiguation. Area-Exam. MIT. http://citeseer.ist.psu.edu/levow97corpusbased.html More
@techreport{ levow97corpusbased,
author = "Gina-Anne Levow",
title = "Corpus-based Techniques for Word Sense Disambiguation",
number = "AIM-1637",
month = "1,",
pages = "20",
year = "1997",
url = "citeseer.ist.psu.edu/levow97corpusbased.html" }
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