Analyses for elucidating current question answering technology
Natural Language Engineering
The effect of named entities on effectiveness in cross-language information retrieval evaluation
Proceedings of the 2005 ACM symposium on Applied computing
Mono- and crosslingual retrieval experiments at the university of hildesheim
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Overview of the CLEF 2004 multilingual question answering track
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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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This paper describes the development of a question answering system for mono-lingual and cross-lingual tasks for English and German. We developed the question answering system from a document and retrieval perspective. The system consists of question and answering taxonomies, named entity recognition, term expansion modules, a multi-lingual search engine based on Lucene and a passage extraction and ranking component. The overall architecture and heuristics applied during development are described. We discuss the results at CLEF 2005 and show potential future work.