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Exploring Patent Passage Retrieval Using Nouns Phrases

  • Linda Andersson
  • Parvaz Mahdabi
  • Allan Hanbury
  • Andreas Rauber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7814)

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.

Keywords

Passage Retrieval Patent Search Natural language Processing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Linda Andersson
    • 1
  • Parvaz Mahdabi
    • 2
  • Allan Hanbury
    • 1
  • Andreas Rauber
    • 1
  1. 1.Vienna University of TechnologyAustria
  2. 2.University of LuganoSwitzerland

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