A Fast Forward Approach to Cross-Lingual Question Answering for English and German

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  1. 1.Information ScienceUniversity of HildesheimHildesheimGermany

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