Evaluating CETEMPúblico, a free resource for Portuguese
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Processing natural language without natural language processing
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
The design, implementation, and use of the Ngram statistics package
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Esfinge: a question answering system in the web using the web
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Using answer retrieval patterns to answer Portuguese questions
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Question answering for Portuguese: how much is needed?
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Priberam’s question answering system for portuguese
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
20th century esfinge (sphinx) solving the riddles at CLEF 2005
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
A passage retrieval system for multilingual question answering
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Language independent passage retrieval for question answering
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
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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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This paper starts by describing Esfinge, a general domain Portuguese question answering system that uses the redundancy available in the Web as an important resource to find its answers. The paper also presents the strategies employed to participate in CLEF-2004 and discusses the results obtained. Three different strategies were tested: searching the answers only in the CLEF document collection, searching the answers in the Web and using the CLEF document collection to confirm these answers and finally searching the answers only in the Web. The intriguing question of why the system performed better when joining the two information sources, even though it was designed for the Web is discussed; in this connection, different language varieties and some problems of Google are mentioned. The paper concludes describing some of the work planned for the near future.