Abstract
A natural language interface to databases allows a natural formulation of information needs, requiring little or no previous knowledge about database intrinsics or formal retrieval languages. Aiming at a full understanding of unrestricted natural language queries, the transformation into database queries and search failures caused by a vocabulary mismatch between query terms and database index terms become major problems to solve. This paper investigates methods of constructing query variants and their use in automated retrieval strategies. Performance results for an experimental setup with a GIRT4 database are presented.
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Leveling, J. (2004). University of Hagen at CLEF 2003: Natural Language Access to the GIRT4 Data. In: Peters, C., Gonzalo, J., Braschler, M., Kluck, M. (eds) Comparative Evaluation of Multilingual Information Access Systems. CLEF 2003. Lecture Notes in Computer Science, vol 3237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30222-3_40
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DOI: https://doi.org/10.1007/978-3-540-30222-3_40
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