A cooccurrence-based thesaurus and two applications to information retrieval

被引：122

作者：

Schutze, H

Pedersen, JO

机构：

[1] Xerox Palo Alto Research Center, Palo Alto, CA 94304

来源：

INFORMATION PROCESSING & MANAGEMENT | 1997年 / 33卷 / 03期

关键词：

D O I：

10.1016/S0306-4573(96)00068-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

This paper presents a new method for computing a thesaurus from a text corpus. Each word is represented as a vector in a multi-dimensional space that captures cooccurrence information. Words are defined to be similar if they have similar cooccurrence patterns. Two different methods for using these thesaurus vectors in information retrieval are shown to significantly improve performance over the Tipster reference corpus as compared to a term vector space baseline. (C) 1997 Elsevier Science Ltd.

引用

页码：307 / 318

页数：12

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