The LIMSI Participation in the QAst Track

Authors:
Sophie Rosset;Olivier Galibert;Gilles Adda;Eric Bilinski
Affiliations:
Spoken Language Processing Group, LIMSI-CNRS, Orsay cedex, France 91403;Spoken Language Processing Group, LIMSI-CNRS, Orsay cedex, France 91403;Spoken Language Processing Group, LIMSI-CNRS, Orsay cedex, France 91403;Spoken Language Processing Group, LIMSI-CNRS, Orsay cedex, France 91403
Venue:
Advances in Multilingual and Multimodal Information Retrieval
Year:
2008

Citing 0
Cited 3

The LIMSI participation in the QAst 2009 track: experimenting on answer scoring

CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
When was it written? automatically determining publication dates

SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Selecting Answers to Questions from Web Documents by a Robust Validation Process

WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present two different question-answering systems on speech transcripts which participated to the QAst 2007 evaluation. These two systems are based on a complete and multi-level analysis of both queries and documents. The first system uses handcrafted rules for small text fragments (snippet) selection and answer extraction. The second one replaces the handcrafting with an automatically generated research descriptor. A score based on those descriptors is used to select documents and snippets. The extraction and scoring of candidate answers is based on proximity measurements within the research descriptor elements and a number of secondary factors. The evaluation results are ranged from 17% to 39% as accuracy depending on the tasks.