A question answering system supported by information extraction
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Accessing Multilingual Information Repositories: 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005,Vienna, Austria, 21-23 September, 2005, ... Papers (Lecture Notes in Computer Science)
Mining and re-ranking for answering biographical queries on the web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A logic programming based approach to QA@CLEF05 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
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
What kinds of geographical information are there in the portuguese web?
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
Assessing the impact of thesaurus-based expansion techniques in QA-centric IR
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
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The purpose of this article is two-fold: (i) to present RAPOSA, an open-domain automatic question answering system for portuguese that participated in QA track at CLEF 2006 for the first time, and (ii) to explain how RAPOSA is intended to be a key component of a larger information extraction framework that uses question-answering technology as the basis for automatic generation of biographies. We will make a first attempt to classify questions regarding their relevance for iterative biography generation and, according to such classification, we will then explain our motivation for participating in CLEF 2006. We will describe the architecture of RAPOSA, explaining the internal details of each of its composing modules. Next, we will present the results RAPOSA obtained on this year's edition of the QA track, and we will identify and comment on the main causes of error. Finally, we will present directions for future work.