Abstract
Techniques of processing databases like free text searching, or proximity search are one of the key factors that influence efficiency of query answering. Since most users prefer querying systems in natural language, a correct answer formulation based on the electronic document content seems a real challenge. Processing queries in multilingual environment usually impedes the system responsiveness even more. This paper proposes an approach of overcoming these obstacles by implementation of syntactic information extraction. Some evaluation methodologies commonly used by TREC, NTCIR, SIGIR etc are studied in order to suggest that it is not only a system architecture itself, a translation model or the document format, but also other factors that determine the system performance. The shallow technique of the syntactic information extraction used appears to be a robust of the system described. In this light, it is possible to achieve comparable results when processing monolingual and cross-lingual collections.
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Mizera-Pietraszko, J. (2009). Syntactic Extraction Approach to Processing Local Document Collections. In: Andreasen, T., Yager, R.R., Bulskov, H., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2009. Lecture Notes in Computer Science(), vol 5822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04957-6_27
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DOI: https://doi.org/10.1007/978-3-642-04957-6_27
Publisher Name: Springer, Berlin, Heidelberg
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