Probabilistic word sense disambiguation

被引：4
|
作者：
Preiss, J [1 ]
机构：
[1] Univ Cambridge, Comp Lab, Cambridge CB3 OFD, England
来源：
COMPUTER SPEECH AND LANGUAGE | 2004年 / 18卷 / 03期
基金：
英国工程与自然科学研究理事会;
关键词：
D O I：
10.1016/j.csl.2004.05.003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a theoretically motivated method for creating probabilistic word sense disambiguation (WSD) systems. The method works by composing multiple probabilistic components: such modularity is made possible by an application of Bayesian statistics and Lidstone's smoothing method. We show that a probabilistic WSD system created along these lines is a strong competitor to state-of-the-art WSD systems. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码：319 / 337
页数：19
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