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
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
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
Searching a mixed corpus in the light of the new portuguese orthographic norm
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Question answering beyond CLEF document collections
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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Esfinge is a general domain Portuguese question answering system. It tries to take advantage of the steadily growing and constantly updated information freely available in the World Wide Web in its question answering tasks. The system participated last year for the first time in the monolingual QA track. However, the results were compromised by several basic errors, which were corrected shortly after. This year, Esfinge participation was expected to yield better results and allow experimentation with a Named Entity Recognition System, as well as try a multilingual QA track for the first time. This paper describes how the system works, presents the results obtained by the official runs in considerable detail, as well as results of experiments measuring the import of different parts of the system, by reporting the decrease in performance when the system is executed without some of its components/features.