As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
We present an approach to query expansion in answer retrieval that uses Statistical Machine Translation (SMT) techniques to bridge the lexical gap between questions and answers. S...
Stefan Riezler, Alexander Vasserman, Ioannis Tsoch...
Prior-art search is an important task in patent retrieval. The success of this task relies upon the selection of relevant search queries. Typically terms for prior-art queries are ...
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
In this paper, we assess the impact of using thesaurus-based query expansion methods, at the Information Retrieval (IR) stage of a Question Answering (QA) system. We focus on expan...