Abstract
This paper presents PATATRAS (PATent and Article Tracking, Retrieval and AnalysiS), a system realized at the Humboldt University for the IP track of CLEF 2009. Our approach presents three main characteristics:
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The usage of multiple retrieval models and term index definitions for the three languages considered in the present track producing ten different sets of ranked results.
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The merging of the different results based on multiple regression models using an additional training set created from the patent collection.
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The exploitation of patent metadata and the citation structures for creating restricted initial working sets of patents and for producing a final re-ranking regression model.
The resulting architecture allowed us to exploit efficiently specific information of patent documents while remaining generic and easy to extend.
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Lopez, P., Romary, L. (2010). PATATRAS: Retrieval Model Combination and Regression Models 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_51
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DOI: https://doi.org/10.1007/978-3-642-15754-7_51
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