Next: Introduction
Abstract:
This paper reviews the literature in computational semantics relating
to the representation of distinctions among similar word-senses and
the acquisition of lexical knowledge in general. This will support
research into automatically acquiring finer word-sense distinctions
from on-line resources and representing these distinctions using
Bayesian networks.
Most of the review covers Computational Linguistics. But it also
discusses some of the related work in Linguistics, Philosophy, and
Psychology. In addition, it covers some work on Statistical Inference,
especially that related to Bayesian networks.