Abstract
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.
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Jensen, N., Hackl, R., Mandl, T., Strötgen, R. (2006). Web Retrieval Experiments with the EuroGOV Corpus at the University of Hildesheim. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_91
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DOI: https://doi.org/10.1007/11878773_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45697-1
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