Dualized Topic-Preserving Pseudo Relevance Feedback for Question Answering

Abstract

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.