Abstract
In this paper, we describe the Centre for Interactive Systems Research's participation in the INEX 2006 adhoc track. Rather than using a field-weighted BM25 model in INEX 2005, we revert back to using the traditional BM25 weighting function. Our main research aims in this year are to investigate the effects of document filtering (by considering only the top-ranked documents), element filtering by length cut-off and the effect of using phrases. The initial results show the latter two methods did not do well, while the first one did well on FOCUSED TASK and RELEVANT IN CONTEXT TASK. Finally, we propose a novel method for BEST IN CONTEXT TASK, and present our initial results. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Lu, W., Robertson, S., & Macfarlane, A. (2007). CISR at INEX 2006. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4518 LNCS, pp. 57–63). Springer Verlag. https://doi.org/10.1007/978-3-540-73888-6_6
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