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A Multi-dependency Language Modeling Approach to Information Retrieval.
- 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