Word sense disambiguation by machine learning approach: A short survey

被引：0

作者：

Tatar, D ^{[1
]}

机构：

[1] Univ Babes Bolyai, Fac Math & Comp Sci, Cluj Napoca, Romania

来源：

FUNDAMENTA INFORMATICAE | 2005年 / 64卷 / 1-4期

关键词：

word sense disambiguation; machine learning; context;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

There is a renewed interest in word sense disambiguation (WSD) as it contributes to various applications in natural language processing. In this paper we survey vector-based methods for WSD in machine learning. All the methods are corpus-based and use definition of context in the sense introduced by S. Marcus [11].

引用

页码：433 / 442

页数：10

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