Exploiting redundancy in question answering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Characterizing a national community web
ACM Transactions on Internet Technology (TOIT)
Processing natural language without natural language processing
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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
First evaluation of esfinge: a question answering system for portuguese
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
SIEMÊS – a named-entity recognizer for portuguese relying on similarity rules
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
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
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Esfinge is a general domain Portuguese question answering system, which uses the information available in the Web as an additional resource when searching for answers. The experiments described in this paper show that the Web helped more with this year's questions than in previous years and that using the Web to support answers also enables the system to answer correctly or at least to find relevant documents for more questions. In this third participation in CLEF, the main goals were (i) to check whether a database of word cooccurrences could improve the answer scoring algorithm and (ii) to get higher benefits from the use of a named entity recognizer that was used last year in sub-optimal conditions. 2006 results were slightly better than last year's, even though the question set included more definitions of type Que é X? (What is X?), with which the system had the worst results in previous participations.