On the MSE robustness of batching estimators
Proceedings of the 33nd conference on Winter simulation
Shallow Morphological Analysis in Monolingual Information Retrieval for Dutch, German, and Italian
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Information extraction for question answering: improving recall through syntactic patterns
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Logical validation, answer merging and witness selection a study in multi-stream question answering
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Extending knowledge and deepening linguistic processing for the question answering system insicht
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Towards an offline XML-Based strategy for answering questions
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Interpretation and normalization of temporal expressions for question answering
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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We describe the participation of the University of Amsterdam in the Question Answering track at CLEF 2004. We took part in the monolingual Dutch task and, for the first time, also in the bilingual English to Dutch task. This year's system is a further elaboration and refinement of the multi-stream architecture we introduced last year, extended with improved candidate answer re-ranking and filtering, and with additional answer finding strategies. We report the evaluation results for the whole system and its various components. The results indicate the recall-oriented approach to QA is an effective one.