We investigate two seemingly incompatible approaches for improving document retrieval performance in the context of question answering: query expansion and query reduction. Querie...
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
In this paper we report on the effectiveness of query-biased summaries for a question-answering task. Our summarisation system presents searchers with short summaries of documents...
Neill Alexander, Craig Brown, Joemon M. Jose, Ian ...
Our participation in TREC 2004 aims to extend and improve the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) for the robust track. We experiment with...
Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many...