research-article

Automatic construction of a bilingual thesaurus using citation analysis

Authors:

Hidetsugu Nanba,

Toshiyuki TakezawaAuthors Info & Claims

PaIR '11: Proceedings of the 4th workshop on Patent information retrieval

Pages 25 - 30

https://doi.org/10.1145/2064975.2064984

Published: 24 October 2011 Publication History

Abstract

We propose a method for constructing a bilingual thesaurus automatically from patents. First, we extract hypernym-hyponym relations from Japanese and US patents by using the pattern "A such as B". Second, we align terms between these thesauri by combining statistical machine translation and citation analysis techniques. To confirm the effectiveness of our method, we conducted some experiments. The results showed that our best method obtained Recall of 79.4%, Precision of 77.5%, and F-measure of 78.3%.

References

[1]

Fujii, A. and Ishikawa, T. 2000. Cross-Language Information Retrieval Based on Query Keyword Translation: An Internet Search Application. International Journal of Computer Processing of Oriental Languages, Vol.13, No.1, pp.1--13.

[2]

Fujii, A., Iwayama, M., and Kando, N. 2007. Overview of the Patent Retrieval Task at the NTCIR-6 Workshop. Proceedings of the 6th NTCIR Workshop Meeting.

[3]

Fujii, A., Utiyama, M. Yamamoto, M., Utsuro, T. Ehara, T., Echizen-ya, H., and Shimohata, S. 2010. Overview of the Patent Translation Task at the NTCIR-8 Workshop. In Proceedings of the 8th NTCIR Workshop Meeting, pp.371--376.

[4]

Hearst, M. A. 1992. Automatic Acquisition of Hyponyms from Large Text Corpora. Proceedings of the 14th International Conference on Computational Linguistics, pp. 539--545.

Digital Library

[5]

Kessler, M. M. 1963. Bibliographic Coupling between Scientific Papers. American Documentation, Vol. 14, No. 1, pp. 10--25.

[6]

Lee., L. Measures of Distributional Similarity. 1999. Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pp. 25--32, 1999.

Digital Library

[7]

Lin, D. 1998. Automatic Retrieval and Clustering of Similar Words. Proceedings of the 17th International Conference on Computational Linguistics, pp. 768--774.

Digital Library

[8]

Morishita, Y., Utsuro, T., and Yamamoto, M. 2008. Integrating a Phrase-based SMT Model and a Bilingual Lexicon for Human in Semi-Automatic Acquisition of Technical Term Translation Lexicon. Proceedings of the 8th Conference of the Association for Machine Translation in the Americas, pp. 153--162.

[9]

Nanba, H., Fujii, A., Iwayama, M., and Hashimoto, T. 2010. Overview of the Patent Mining Task at the NTCIR-8 Workshop. Proceedings of the 8th NTCIR Workshop Meeting, pp. 293--302.

[10]

Och, F. J. and Ney, H. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics, Vol. 29, No. 1, pp. 19--51.

Digital Library

[11]

Ohishi, Y., Itou, K., Takeda, K., and Fujii, A. 2006. Statistical Analysis for Thesaurus Construction using an Encyclopedic Corpus. Proceedings of the 5th International Conference on Language Resources and Evaluation, pp. 1368--1371.

[12]

Roda, G., Tait, J., Piroi, F., and Zenz, V. 2010. CLEF-IP 2009: Retrieval Experiments in the Intellectual Property Domain, in Peters, C., Di Nunzio, G. M., Kurimo, M., Mostefa, D., Penas, A. and Roda, G. (eds) Multilingual Information Access Evaluation I. Text Retrieval Experiments 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers, Springer LNCS, Vol. 6241, pp. 385--409.

Digital Library

[13]

Sato, S. and Sasaki, Y. 2003. Automatic Collection of Related Terms from the Web. Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, Vol. 2, pp. 121--124.

Digital Library

[14]

Shinzato, K. and Torisawa, K. 2004. Acquiring Hyponymy Relations from Web Documents. Proceedings of Human Language Technology Conference/North American Chapter of the Association for Computational Linguistics Annual Meeting, pp. 73--80.

[15]

Small, H. 1973. Co-citation in the Scientific Literature: A New Measure of the Relationship between Two Documents. Journal of the American Society for Information Science, Vol. 24, pp. 265--269.

[16]

Tonoike, M., Kida, M., Takagi, T., Sasaki, Y., Utsuro, T., and Sato, S. 2005. Translation Estimation for Technical Terms using Corpus collected from the Web. Proceedings of the Pacific Association for Computational Linguistics, pp. 325--331.

Cited By

Iwakuma KGong YNanba HFukuda S(2023)Automatic Multilingual Hypernym-Hyponym Relation Extraction Using a Link Prediction Model2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI59060.2023.00028(94-99)Online publication date: 8-Jul-2023
https://doi.org/10.1109/IIAI-AAI59060.2023.00028
Andersson LHanbury ARauber A(2017)The Portability of Three Types of Text Mining Techniques into the Patent Text GenreCurrent Challenges in Patent Information Retrieval10.1007/978-3-662-53817-3_9(241-280)Online publication date: 26-Mar-2017
https://doi.org/10.1007/978-3-662-53817-3_9
Lagutina NParamonov IVorontsova IKasatkina N(2015)An approach to automated thesaurus construction using clusterization-based dictionary analysisProceedings of the 17th Conference of Open Innovations Association FRUCT10.1109/FRUCT.2015.7117979(104-109)Online publication date: 27-Apr-2015
https://dl.acm.org/doi/10.1109/FRUCT.2015.7117979
Show More Cited By

Index Terms

Automatic construction of a bilingual thesaurus using citation analysis

Recommendations

Automatic induction of bilingual resources from aligned parallel corpora: application to shallow-transfer machine translation

The availability of machine-readable bilingual linguistic resources is crucial not only for rule-based machine translation but also for other applications such as cross-lingual information retrieval. However, the building of such resources (bilingual ...
Automatic supervised thesauri construction with "roget's thesaurus"
Automatic construction of an English-Chinese bilingual FrameNet
HLT-NAACL-Short '04: Proceedings of HLT-NAACL 2004: Short Papers

We propose a method of automatically constructing an English-Chinese bilingual FrameNet where the English FrameNet lexical entries are linked to the appropriate Chinese word senses. This resource can be used in machine translation and cross-lingual IR ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

PaIR '11: Proceedings of the 4th workshop on Patent information retrieval

October 2011

46 pages

ISBN:9781450309554

DOI:10.1145/2064975

Program Chairs:
Mihai Lupu
Information Retrieval Facility
,
Andreas Rauber
Vienna University of Technology
,
Allan Hanbury
Vienna University of Technology

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 October 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CIKM '11

Sponsor:

CIKM '11: International Conference on Information and Knowledge Management

October 24, 2011

Glasgow, Scotland, UK

Acceptance Rates

Overall Acceptance Rate 7 of 13 submissions, 54%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
116
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Iwakuma KGong YNanba HFukuda S(2023)Automatic Multilingual Hypernym-Hyponym Relation Extraction Using a Link Prediction Model2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI59060.2023.00028(94-99)Online publication date: 8-Jul-2023
https://doi.org/10.1109/IIAI-AAI59060.2023.00028
Andersson LHanbury ARauber A(2017)The Portability of Three Types of Text Mining Techniques into the Patent Text GenreCurrent Challenges in Patent Information Retrieval10.1007/978-3-662-53817-3_9(241-280)Online publication date: 26-Mar-2017
https://doi.org/10.1007/978-3-662-53817-3_9
Lagutina NParamonov IVorontsova IKasatkina N(2015)An approach to automated thesaurus construction using clusterization-based dictionary analysisProceedings of the 17th Conference of Open Innovations Association FRUCT10.1109/FRUCT.2015.7117979(104-109)Online publication date: 27-Apr-2015
https://dl.acm.org/doi/10.1109/FRUCT.2015.7117979
Jürgens JWomser-Hacker C(2014)Limitations of Automatic Patent IRDatenbank-Spektrum10.1007/s13222-014-0149-y14:1(5-17)Online publication date: 6-Feb-2014
https://doi.org/10.1007/s13222-014-0149-y
Lupu MHanbury A(2013)Patent RetrievalFoundations and Trends in Information Retrieval10.1561/15000000277:1(1-97)Online publication date: 20-Feb-2013
https://dl.acm.org/doi/10.1561/1500000027

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents