Exploring patent passage retrieval using nouns phrases

Authors:
Linda Andersson;Parvaz Mahdabi;Allan Hanbury;Andreas Rauber
Affiliations:
Vienna University of Technology, Austria;University of Lugano, Switzerland;Vienna University of Technology, Austria;Vienna University of Technology, Austria
Venue:
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Year:
2013

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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.