Back to Search Start Over

A Multi-dependency Language Modeling Approach to Information Retrieval.

Authors :
Carbonell, Jaime G.
Siekmann, Jörg
Washio, Takashi
Zhi-Hua Zhou
Joshua Zhexue Huang
Xiaohua Hu
Jinyan Li
Chao Xie
Jieyue He
Deqing Zou
Kuan-Ching Li
Freire, Mário M.
Keke Cai
Chun Chen
Jiajun Bu
Guang Qiu
Peng Huang
Source :
Emerging Technologies in Knowledge Discovery & Data Mining; 2007, p484-491, 8p
Publication Year :
2007

Abstract

This paper presents a multi-dependency language modeling approach to information retrieval. The approach extends the basic KL-divergence retrieval approach by introducing the hybrid dependency structure, which includes syntactic dependency, syntactic proximity dependency and co-occurrence dependency, to describe dependencies between terms. Term and dependency language models are constructed for both document and query. The relevant between a document and a query is then evaluated by using the KL-divergence between their corresponding models. The new dependency retrieval model has been compared with other traditional retrieval models. Experiment results indicate that it produces significant improvements in retrieval effectiveness. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540770169
Database :
Complementary Index
Journal :
Emerging Technologies in Knowledge Discovery & Data Mining
Publication Type :
Book
Accession number :
33751902
Full Text :
https://doi.org/10.1007/978-3-540-77018-3_48