Poster Title:

Bayesian Network based Sentence Retrieval Model

Authors:

• Keke Cai (Zhejiang University)
• Jiajun Bu (zhejiang university)
• Chun Chen (Zhejiang University)
• Kangmiao Liu (Zhejiang University)
• Wei Chen (Zhejiang University)

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. The fist one observes relationships between pairs of terms and the second one focuses on relationships between terms and term sets. Experiments have proven the efficiency of Bayesian network in the application of sentence retrieval. Particularly and retrieval result with consideration of the second kind of term relationship performs best in improving retrieval precision.