Monolingual retrieval experiments with a domain-specific document corpus at the Chemnitz University of Technology

Abstract

This article describes the first participation of the Chair Media Informatics of the Chemnitz University of Technology in the Cross Language Evaluation Forum. An experimental prototype is introduced which implements several methods of optimizing search results. The configuration of the prototype is tested with the CLEF training data. The results of the Domain-Specific Monolingual German task suggest that combining the suffix stripping stemming and the decompounding approach is very useful. Also, a local document clustering (LDC) approach used to improve the query expansion (QE) based on pseudo-relevance feedback (PRF) seems to be quite beneficial. Nevertheless, the evaluation of the English task using the same configuration suggests that the qualities of the results are highly speech dependent. © Springer-Verlag Berlin Heidelberg 2007.