Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Importance of pronominal anaphora resolution in question answering systems
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
Question Answering with Joost at CLEF 2007
Advances in Multilingual and Multimodal Information Retrieval
QA@L2F, First Steps at QA@CLEF
Advances in Multilingual and Multimodal Information Retrieval
Priberam's Question Answering System in QA@CLEF 2007
Advances in Multilingual and Multimodal Information Retrieval
Classifying what-type questions by head noun tagging
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Statistical shallow semantic parsing despite little training data
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
"Who are we talking about?" tracking the referent in a question answering series
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Using morphossyntactic information in TTS systems: comparing strategies for European Portuguese
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
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The Question Interpretation module of QA@L2F, the question-answering system from L2F/INESC-ID, is thoroughly described in this paper, as well as the frame formalism it employs. Moreover, the anaphora resolution process introduced this year, based on frames manipulation, is detailed. The overall results QA@L2F achieved at the CLEF competition and a brief overview on the system's evolution throughout the 2 years of joint evaluation are presented. The results of an evaluation to the QI module alone are also detailed here.