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- W2397564744 abstract "This technical report presents the work carried out for the Prior Art Candidate Search track of CLEF-IP 2011. In this search scenario, information need is expressed as a patent document (query topic). We compare two methods for estimating query model from the patent document to support summary-based query modeling and descriptionbased query modeling. The former approach utilizes a known text summarization technique, called “TextTiling”, and is adopted for patent documents. The latter approach uses the description section of a patent document for estimating the query model. With summary-based query modeling we aspire to capture the main topic of the document as well as the most important subtopics and discard subtopics, which are only marginally discussed in the patent document. We submitted four runs for the Prior Art Candidate Search task. According to recall@1000 our best run was ranked 3 across 6 participants and 8, across all 30 submitted runs. In terms of MAP our best run achieved the 3 rank across participants and 4 rank, across all runs. keywords: Patent Retrieval, Query Generation, Patent Summarization, CLEF-IP track" @default.
- W2397564744 created "2016-06-24" @default.
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- W2397564744 date "2011-01-01" @default.
- W2397564744 modified "2023-09-26" @default.
- W2397564744 title "Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarization." @default.
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