Title
Bayesian network based sentence retrieval model
Abstract
This paper makes an intensive investigation of the application of Bayesian network in sentence retrieval and introduces three Bayesian network based sentence retrieval models with or without consideration of term relationships. Term relationships in this paper are considered from two perspectives: relationships between pairs of terms and relationships between terms and term sets. Experiments have proven the efficiency of Bayesian network in the application of sentence retrieval. Particularly, retrieval result with consideration of the second kind of term relationship performs better in improving retrieval precision.
Year
DOI
Venue
2007
10.1145/1242572.1242733
WWW
Keywords
Field
DocType
term relationship,bayesian network,intensive investigation,retrieval result,sentence retrieval model,retrieval precision,sentence retrieval,term set
Divergence-from-randomness model,Computer science,Bayesian network,Artificial intelligence,Term Discrimination,Sentence,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Keke Cai124315.36
Jiajun Bu24106211.52
Chun Chen34727246.28
Kangmiao Liu4425.52
Wei Chen5443.48