Information Retrieval Model Combining Sentence Level Retrieval

To get better performance, Some researchers have proposed relative work to exploit the position and proximity information of query terms in language model. However these models need large quantity of training data and its computation complexity is comparatively high. This paper presents an informati...

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Bibliographic Details
Published in2013 International Conference on Asian Language Processing pp. 37 - 40
Main Authors Jiali Zuo, Mingwen Wang, Jianyi Wan, Wenbing Luo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
Computational modeling
Computers
Educational institutions
Information retrieval
Markov processes
Probabilistic logic
Sentence level retrieval
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Summary:To get better performance, Some researchers have proposed relative work to exploit the position and proximity information of query terms in language model. However these models need large quantity of training data and its computation complexity is comparatively high. This paper presents an information retrieval model combining sentence level retrieval and use sentence as a unit to compute the relevant degree of the sentence to query. Experiment results show our model can get better performance than baseline models.
DOI:10.1109/IALP.2013.76