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Exploring Patent Passage Retrieval Using Nouns Phrases

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Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

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Abstract

This paper presents experiments which initially were carried out for the Patent Passage Retrieval track of CLEF-IP 2012. The Passage Retrieval module was implemented independently of the Document Retrieval system. In the Passage Retrieval module we make use of Natural Language Processing applications (WordNet and Stanford Part-of-Speech tagger) for lemmatization and phrase (multi word units) retrieval. We show by applying simple rule-based modifications and only targeting specific language instances (noun phrases) the usage of general NLP tools for phrase retrieval will increase performance of a Patent Passage Information Extraction system.

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Andersson, L., Mahdabi, P., Hanbury, A., Rauber, A. (2013). Exploring Patent Passage Retrieval Using Nouns Phrases. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_58

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  • DOI: https://doi.org/10.1007/978-3-642-36973-5_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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