Word sense disambiguation to improve precision for ambiguous queries

被引：9

作者：

Chifu, Adrian-Gabriel ^{[1
]}

Ionescu, Radu-Tudor ^{[2
]}

机构：

[1] Univ Toulouse 1, Univ Paul Sabatier, CNRS, IRIT UMR5505, 118 Route Narbonne, F-310629 Toulouse 9, France

[2] Univ Bucharest, Fac Math & Comp Sci, Bucharest RO-010014, Romania

来源：

OPEN COMPUTER SCIENCE | 2012年 / 2卷 / 04期

关键词：

information retrieval; word sense disambiguation; naive bayes classification; difficult queries; ambiguous queries; document clustering; fusion functions;

D O I：

10.2478/s13537-012-0032-6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Success in Information Retrieval (IR) depends on many variables. Several interdisciplinary approaches try to improve the quality of the results obtained by an IR system. In this paper we propose a new way of using word sense disambiguation (WSD) in IR. The method we develop is based on Naive Bayes classification and can be used both as a filtering and as a re-ranking technique. We show on the TREC ad-hoc collection that WSD is useful in the case of queries which are difficult due to sense ambiguity. Our interest regards improving the precision after 5, 10 and 30 retrieved documents (P@5, P@10, P@30), respectively, for such lowest precision queries.

引用

页码：398 / 411

页数：14

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