research-article

Preliminary study into query translation for patent retrieval

Authors:

Charles Jochim,

Christina Lioma,

Hinrich Schütze,

Thomas ErtlAuthors Info & Claims

PaIR '10: Proceedings of the 3rd international workshop on Patent information retrieval

Pages 57 - 66

https://doi.org/10.1145/1871888.1871899

Published: 26 October 2010 Publication History

Abstract

Patent retrieval is a branch of Information Retrieval (IR) aiming to support patent professionals in retrieving patents that satisfy their information needs. Often, patent granting bodies require patents to be partially translated into one or more major foreign languages, so that language boundaries do not hinder their accessibility. This multilinguality of patent collections offers opportunities for improving patent retrieval. In this work we exploit these opportunities by applying query translation to patent retrieval. We expand monolingual patent queries with their translations, using both a domain-specific patent dictionary that we extract from the patent collection, and a general domain-free dictionary. Experimental evaluation on a standard CLEF-IP dataset shows that using either translation dictionary fetches similar results: query translation can help patent retrieval, but not always, and without great improvement compared to standard statistical monolingual query expansion (Rocchio). The improvement is greater when the source language is English, as opposed to French or German, a finding partly due to the effect of the complex French and German morphology upon translation accuracy, but also partly due to the prevalence of English in the collection. A thorough per-query analysis reveals that cases where standard query expansion fails (e.g. zero recall) can benefit from query translation.

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Cited By

Zhang JHuang YJiang QLu WShen H(2018)Query translation based on visual information2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI.2018.8377521(563-567)Online publication date: Mar-2018
https://doi.org/10.1109/ICACI.2018.8377521
Böhm TKlas CHemmje M(2016)Towards a probabilistic model for supporting collaborative information accessInformation Retrieval Journal10.1007/s10791-016-9285-319:5(487-509)Online publication date: 2-Aug-2016
https://doi.org/10.1007/s10791-016-9285-3
Zimmermann A(2015)The Data Problem in Data MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370616:2(38-45)Online publication date: 21-May-2015
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Index Terms

Preliminary study into query translation for patent retrieval
1. Applied computing
  1. Arts and humanities
    1. Language translation
2. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

PaIR '10: Proceedings of the 3rd international workshop on Patent information retrieval

October 2010

76 pages

ISBN:9781450303842

DOI:10.1145/1871888

General Chair:
John Tait
Information Retrieval Facility, AT
,
Program Chairs:
Christopher Harris
The University of Iowa, USA
,
Mihai Lupu
Information Retrieval Facility, AT

Copyright © 2010 ACM.

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Published: 26 October 2010

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Cited By

Zhang JHuang YJiang QLu WShen H(2018)Query translation based on visual information2018 Tenth International Conference on Advanced Computational Intelligence (ICACI)10.1109/ICACI.2018.8377521(563-567)Online publication date: Mar-2018
https://doi.org/10.1109/ICACI.2018.8377521
Böhm TKlas CHemmje M(2016)Towards a probabilistic model for supporting collaborative information accessInformation Retrieval Journal10.1007/s10791-016-9285-319:5(487-509)Online publication date: 2-Aug-2016
https://doi.org/10.1007/s10791-016-9285-3
Zimmermann A(2015)The Data Problem in Data MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370616:2(38-45)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783706
Zhang LLi LLi T(2015)Patent MiningACM SIGKDD Explorations Newsletter10.1145/2783702.278370416:2(1-19)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2783702.2783704
Singh MLau L(2015)Approximating Minimum Bounded Degree Spanning Trees to within One of OptimalJournal of the ACM10.1145/262936662:1(1-19)Online publication date: 2-Mar-2015
https://dl.acm.org/doi/10.1145/2629366
Tannebaum WRauber A(2014)Using query logs of USPTO patent examiners for automatic query expansion in patent searchingInformation Retrieval10.1007/s10791-014-9238-717:5-6(452-470)Online publication date: 22-Feb-2014
https://doi.org/10.1007/s10791-014-9238-7
Bond MKulkarni MCao MZhang MFathi Salmi MBiswas SSengupta AHuang J(2013)OCTETACM SIGPLAN Notices10.1145/2544173.250951948:10(693-712)Online publication date: 29-Oct-2013
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Noll AGross T(2013)Online feedback-directed optimizations for parallel Java codeACM SIGPLAN Notices10.1145/2544173.250951848:10(713-728)Online publication date: 29-Oct-2013
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Chong NDonaldson AKelly PKetema JQadeer S(2013)Barrier invariantsACM SIGPLAN Notices10.1145/2544173.250951748:10(605-622)Online publication date: 29-Oct-2013
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Herhut SHudson RShpeisman TSreeram J(2013)River trailACM SIGPLAN Notices10.1145/2544173.250951648:10(729-744)Online publication date: 29-Oct-2013
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