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
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