This paper describes web retrieval experiments with the EuroGOV corpus carried out at the University of Hildesheim. For both the multi-lingual and the mixed mono-lingual task, several indexing strategies were tested, all of them based on one mixed language index. After stopword removal, word and n-gram based indexes were developed based on the full document content, part of the content and the document title. Boosting the original topic language with a higher weight in the query and punishing the English translation led to better results for most settings. A title only run gave the best results during post submission runs for the multi-lingual task. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Jensen, N., Hackl, R., Mandl, T., & Strötgen, R. (2006). Web retrieval experiments with the EuroGOV corpus at the university of Hildesheim. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4022 LNCS, pp. 837–845). Springer Verlag. https://doi.org/10.1007/11878773_91
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