Exploiting redundancy in question answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
MLQA '06 Proceedings of the Workshop on Multilingual Question Answering
Priberam’s question answering system for portuguese
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Overview of the CLEF 2004 multilingual question answering track
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT
ACM Transactions on Asian Language Information Processing (TALIP)
Adapting the JIRS Passage Retrieval System to the Arabic Language
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
FIDJI: using syntax for validating answers in multiple documents
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
Priberam’s question answering system for portuguese
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Question answering at the cross-language evaluation forum 2003---2010
Language Resources and Evaluation
The bilingual system MUSCLEF at QA@CLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR evaluation campaign (Evalda, Technolangue [3]) and in CLEF 2005 for monolingual task (French-French) and multilingual task (English-French and Portuguese-French). This article describes the improvements of the system since last year. Then, it presents our benchmarked results for the CLEF 2006 campaign and a critical description of the system. Since Synapse Développement is participating to Quaero project, QRISTAL is most likely to be integrated in a mass market search engine in the forthcoming years.