Finding An Answer Based on the Recognition of the Question Focus

Abstract

In this report we describe how the QALC system (the Question-Answering program of the LIR group at LIMSI-CNRS, already involved in the QA-track evaluation at TREC9), was improved in order to better extract the very answer in selected sentences. The purpose of the main Question-Answering track in TREC10 was to find text sequences no longer than 50 characters or to produce a "no answer" response in case of a lack of answer in the TREC corpus.

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Cite this paper

@inproceedings{Ferret2001FindingAA, title={Finding An Answer Based on the Recognition of the Question Focus}, author={Olivier Ferret and Brigitte Grau and Martine Hurault-Plantet and Gabriel Illouz and Laura Monceaux and Isabelle Robba and Anne Vilnat}, booktitle={TREC}, year={2001} }