Article

Free access

A confidence-based framework for disambiguating geographic terms

Authors:

Erik Rauch,

Michael Bukatin,

Kenneth BakerAuthors Info & Claims

HLT-NAACL-GEOREF '03: Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1

Pages 50 - 54

https://doi.org/10.3115/1119394.1119402

Published: 31 May 2003 Publication History

PDF eReader

Abstract

We describe a purely confidence-based geographic term disambiguation system that crucially relies on the notion of "positive" and "negative" context and methods for combining confidence-based disambiguation with measures of relevance to a user's query.

References

[1]

Amittai Axelrod. 2003. On building a high performance gazetteer database, this volume.

Digital Library

Google Scholar

[2]

Combine Communications-Electronics Board. 1983. Communication Instructions General (Unclassified) ACP 121 (F), London. Available via URL http://www.dtic.mil/jcs/j6/cceb/acps/acp121f.pdf

Google Scholar

[3]

David Day, John Aberdeen, Lynette Hirschman, Robyn Kozierok, Patricia Robinson and Marc Vilain. 1997. Mixed-Initiative Development of Language Processing Systems. In Proceedings of Fifth Conference on Applied Natural Language Processing, Association for Computational Linguistics, Washington, DC.

Digital Library

Google Scholar

[4]

Department of the Army. 1990. FM 24-33. Communications techniques: electronic counter-countermeasures, Appendix A. Washington, DC. Available via URL http://www.fas.org/irp/doddir/army/ fm24-33/fm2433.htm

Google Scholar

[5]

S.E. Robertson and K. Sparck Jones. 1997. Simple, proven approaches to text retrieval. University of Cambridge Computer Laboratory Technical Report, May 1997.

Google Scholar

Cited By

View all

Schneider NSankaranarayanan JSamet H(2023)Cross-lingual Text Clustering in a Large SystemProceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval10.1145/3639233.3639356(1-11)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3639233.3639356
Moncla LGaio MJoliveau TLay Y(2017)Automated Geoparsing of Paris Street Names in 19th Century NovelsProceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities10.1145/3149858.3149859(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3149858.3149859
Ardanuy MSporleder C(2017)Toponym disambiguation in historical documents using semantic and geographic featuresProceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage10.1145/3078081.3078099(175-180)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1145/3078081.3078099
Show More Cited By

Recommendations

Disambiguating biomedical acronyms using EMIM
SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Expanding a query with acronyms or their corresponding 'long-forms' has not been shown to provide consistent improvements in the biomedical IR literature. The major open issue with expanding acronyms in a query is their inherent ambiguity, as an acronym ...
Disambiguating toponyms in news
HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing

This research is aimed at the problem of disambiguating toponyms (place names) in terms of a classification derived by merging information from two publicly available gazetteers. To establish the difficulty of the problem, we measured the degree of ...
Approaches to disambiguating toponyms

Many approaches have been proposed in recent years in the context of Geographic Information Retrieval (GIR), mostly in order to deal with geographically constrained information in un-structured texts. Most of these approaches share a common scheme: in ...

Comments

Information & Contributors

Information

Published In

HLT-NAACL-GEOREF '03: Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1

May 2003

83 pages

Conference Chairs:
Andr´s Kornai
Metacarta
,
Beth Sundheim
SPAWAR Systems Center (US Dept. of Navy)

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 31 May 2003

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 240 of 768 submissions, 31%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

49
Total Citations
View Citations
585
Total Downloads

Downloads (Last 12 months)30
Downloads (Last 6 weeks)2

Reflects downloads up to 14 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Schneider NSankaranarayanan JSamet H(2023)Cross-lingual Text Clustering in a Large SystemProceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval10.1145/3639233.3639356(1-11)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3639233.3639356
Moncla LGaio MJoliveau TLay Y(2017)Automated Geoparsing of Paris Street Names in 19th Century NovelsProceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities10.1145/3149858.3149859(1-8)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3149858.3149859
Ardanuy MSporleder C(2017)Toponym disambiguation in historical documents using semantic and geographic featuresProceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage10.1145/3078081.3078099(175-180)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1145/3078081.3078099
Cai GTian YJones CPurves R(2016)Towards geo-referencing infrastructure for local newsProceedings of the 10th Workshop on Geographic Information Retrieval10.1145/3003464.3003473(1-10)Online publication date: 31-Oct-2016
https://dl.acm.org/doi/10.1145/3003464.3003473
Monteiro BDavis CFonseca F(2016)A survey on the geographic scope of textual documentsComputers & Geosciences10.1016/j.cageo.2016.07.01796:C(23-34)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.cageo.2016.07.017
Adelfio MSamet HPurves RJones C(2014)Itinerary retrievalProceedings of the 8th Workshop on Geographic Information Retrieval10.1145/2675354.2675355(1-8)Online publication date: 4-Nov-2014
https://dl.acm.org/doi/10.1145/2675354.2675355
Samet HSankaranarayanan JLieberman MAdelfio MFruin BLotkowski JPanozzo DSperling JTeitler B(2014)Reading news with maps by exploiting spatial synonymsCommunications of the ACM10.1145/262957257:10(64-77)Online publication date: 23-Sep-2014
https://dl.acm.org/doi/10.1145/2629572
Yoshioka MFujiwara T(2013)Construction of a Japanese gazetteers for Japanese local toponym disambiguationProceedings of the 7th Workshop on Geographic Information Retrieval10.1145/2533888.2533930(57-63)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2533888.2533930
Garrido ABuey MIlarri SMena E(2013)GEO-NASSProceedings of the 17th East European Conference on Advances in Databases and Information Systems - Volume 813310.1007/978-3-642-40683-6_5(56-69)Online publication date: 1-Sep-2013
https://dl.acm.org/doi/10.1007/978-3-642-40683-6_5
Hosokawa YCho YGantenbein RKuo TTarokh V(2012)Improving vertical geo/geo disambiguation by increasing geographical feature weights of placesProceedings of the 2012 ACM Research in Applied Computation Symposium10.1145/2401603.2401625(92-99)Online publication date: 23-Oct-2012
https://dl.acm.org/doi/10.1145/2401603.2401625
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

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

Abstract

References

Cited By

Recommendations

Disambiguating biomedical acronyms using EMIM

Disambiguating toponyms in news

Approaches to disambiguating toponyms

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations