poster

Sense discrimination for physics retrieval

Authors:

SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Pages 1101 - 1102

https://doi.org/10.1145/2009916.2010069

Published: 24 July 2011 Publication History

Get Access

Abstract

Information Retrieval in technical domains like physics is characterised by long and precise queries, whose meaning is strongly influenced by term context and domain. We treat this as a disambiguation problem, and present initial findings of a retrieval model that posits a higher probability of relevance for documents matching disambiguated query terms. Preliminary evaluation on a real-life physics test collection shows promising performance improvement.

References

[1]

W. B. Croft and J. Lafferty. Language Modeling for Information Retrieval. Kluwer, 2003.

Digital Library

Google Scholar

[2]

M. Lykke, B. Larsen, H. Lund, and P. Ingwersen. Developing a test collection for the evaluation of integrated search. In ECIR, pages 627--630, 2010.

Digital Library

Google Scholar

[3]

H. Schütze and J. O. Pedersen. Information retrieval based on word senses. In SDAIR, pages 161--175, 1995.

Google Scholar

[4]

Y. Zhou and W. B. Croft. Document quality models for web ad hoc retrieval. In CIKM, pages 331--332, 2005.

Digital Library

Google Scholar

Cited By

View all

Lioma CLarsen BIngwersen P(2018)To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon RetrievalData and Information Management10.2478/dim-2018-00012:1(1-14)Online publication date: 22-May-2018
https://doi.org/10.2478/dim-2018-0001
Lioma CLarsen BLu WHuang YAnjum AZhao X(2016)A study of factuality, objectivity and relevanceProceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3006299.3006315(107-117)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/3006299.3006315
Prakasha SShashidhar HRaju G(2014)Structured Intelligent Search Engine for effective information retrieval using query clustering technique and Semantic Web2014 International Conference on Contemporary Computing and Informatics (IC3I)10.1109/IC3I.2014.7019820(688-695)Online publication date: Nov-2014
https://doi.org/10.1109/IC3I.2014.7019820
Show More Cited By

Index Terms

Sense discrimination for physics retrieval
1. Information systems
  1. Information retrieval

Recommendations

Word sense disambiguation in information retrieval revisited
SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval

Word sense ambiguity is recognized as having a detrimental effect on the precision of information retrieval systems in general and web search systems in particular, due to the sparse nature of the queries involved. Despite continued research into the ...
Term weighting for information retrieval based on term's discrimination power

One of the most important research topics in Information Retrieval is term weighting for document ranking and retrieval, such as TFIDF, BM25, etc. We propose a term weighting method that utilizes past retrieval results consisting of the queries that ...
Document expansion for image retrieval
RIAO '10: Adaptivity, Personalization and Fusion of Heterogeneous Information

Successful information retrieval requires effective matching between the user's search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors' of these documents. One ...

Comments

Information & Contributors

Information

Published In

SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

July 2011

1374 pages

ISBN:9781450307574

DOI:10.1145/2009916

General Chairs:
Wei-Ying Ma
Microsoft Research Asia, China
,
Jian-Yun Nie
University of Montreal, Canada
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Research, Spain
,
Tat-Seng Chua
National University of Singapore
,
W. Bruce Croft
University of Massachusetts, Amherst, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Conference

SIGIR '11

Sponsor:

SIGIR

SIGIR '11: The 34th International ACM SIGIR conference on research and development in Information Retrieval

July 24 - 28, 2011

Beijing, China

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
264
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Lioma CLarsen BIngwersen P(2018)To Phrase or Not to Phrase – Impact of User versus System Term Dependence upon RetrievalData and Information Management10.2478/dim-2018-00012:1(1-14)Online publication date: 22-May-2018
https://doi.org/10.2478/dim-2018-0001
Lioma CLarsen BLu WHuang YAnjum AZhao X(2016)A study of factuality, objectivity and relevanceProceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies10.1145/3006299.3006315(107-117)Online publication date: 6-Dec-2016
https://dl.acm.org/doi/10.1145/3006299.3006315
Prakasha SShashidhar HRaju G(2014)Structured Intelligent Search Engine for effective information retrieval using query clustering technique and Semantic Web2014 International Conference on Contemporary Computing and Informatics (IC3I)10.1109/IC3I.2014.7019820(688-695)Online publication date: Nov-2014
https://doi.org/10.1109/IC3I.2014.7019820
Larsen BLioma Cde Vries A(2012)Report on TBAS 2012ACM SIGIR Forum10.1145/2215676.221568446:1(71-77)Online publication date: 20-May-2012
https://dl.acm.org/doi/10.1145/2215676.2215684

View Options

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.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Word sense disambiguation in information retrieval revisited

Term weighting for information retrieval based on term's discrimination power

Document expansion for image retrieval

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations