Foundations of statistical natural language processing
Foundations of statistical natural language processing
A second-order Hidden Markov Model for part-of-speech tagging
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Overview of the CLEF 2005 multilingual question answering track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Priberam’s question answering system for portuguese
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Priberam's question answering system in QA@CLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Learning to select the correct answer in multi-stream question answering
Information Processing and Management: an International Journal
Question answering at the cross-language evaluation forum 2003---2010
Language Resources and Evaluation
Using machine learning and text mining in question answering
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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
Hi-index | 0.00 |
Following last year's participation in the monolingual question answering (QA) track of CLEF, where Priberam's QA system has achieved state-of-the-art results, this year we decided to take part in both Portuguese and Spanish monolingual tasks, as well as in two bilingual (Portuguese-Spanish and Spanish-Portuguese) tasks of QA@CLEF. This paper describes the improvements and changes implemented in Priberam's QA system since last CLEF participation, detailing the work involved in its cross-lingual extension and discussing the results of the runs submitted to evaluation.