Dualized Topic-Preserving Pseudo Relevance Feedback for Question Answering

Kyoung-Soo HAN  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.7   pp.1550-1553
Publication Date: 2017/07/01
Publicized: 2017/03/28
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2017EDL8017
Type of Manuscript: LETTER
Category: Natural Language Processing
Keyword: 
pseudo relevance feedback,  PRF,  blind relevance feedback,  query expansion,  question answering,  

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Summary: 
This study proposes an effective pseudo relevance feedback method for information retrieval in the context of question answering. The method separates two retrieval models to improve the precision of initial search and the recall of feedback search. The topic-preserving query expansion links the two models to prevent the topic shift.