Abstract
In this paper we describe our participation in CLEF-IP 2009 (prior art search task). This was the first year of the task and we focused on how to build effectively a prior art query from a patent. Basically, we implemented simple strategies to extract terms from some textual fields of the patent documents and gave more weight to title terms. We ran experiments with the well-known BM25 model. Although we paid little attention to language-dependent issues, our performance was usually among the top 3 groups participating in the task.
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Toucedo, J.C., Losada, D.E. (2010). Formulating Good Queries for Prior Art Search. In: Peters, C., et al. Multilingual Information Access Evaluation I. Text Retrieval Experiments. CLEF 2009. Lecture Notes in Computer Science, vol 6241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15754-7_49
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DOI: https://doi.org/10.1007/978-3-642-15754-7_49
Publisher Name: Springer, Berlin, Heidelberg
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