Effective pseudo-relevance feedback for spoken document retrieval

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 8535-8539

  Chen, Yi Wen ^a   Chen, Kuan Yu ^b   Wang, Hsin Min ^b   Chen, Berlin ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

Kullback Leibler (KL) divergence; pseudo relevance feedback; query modeling; Spoken document retrieval

Indexed keywords

FEEDBACK DOCUMENTS; KULLBACK-LEIBLER; MODELING TECHNIQUE; PSEUDO RELEVANCE FEEDBACK; QUERY MODEL; QUERY REFORMULATION; SPOKEN DOCUMENT RETRIEVAL; TOPIC DETECTION AND TRACKING;

INFORMATION RETRIEVAL SYSTEMS; SIGNAL PROCESSING;

INFORMATION RETRIEVAL;

EID: 84890461938     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639331     Document Type: Conference Paper

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