Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/312624.312645acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
Article
Free access

Document expansion for speech retrieval

Published: 01 August 1999 Publication History
First page of PDF

References

[1]
C.W. Cleverdon and J. Mills. The testing of index language devices. Aslib Proceedings, 15(4):106 130, 1963.
[2]
P. Cohen and R. Kjeldsen. Information retrieval by constrained spreading activation by semantic networks. Information Processing and Management, 23(4):266 268, 1987.
[3]
W.B. Croft, T.J. Lucia, J. Cringean, and P. Willett. Retrieving documents by plausible inference: An experimental study. Information Processing and Management, 25(6):599 614, 1989.
[4]
S. Deerwester, S.T. Dumais, G.W. Furnas, T.K. Landauer, and R. Harshman. Indexing by latent semantic indexing. Journal of the American Society for Information Science, 41(6):391 407, 1990.
[5]
Edward I~bx, Gary Nunn, and Whay Lee. Coeiticients for combining concept classes in a collection. In Pwceedings of SIGIR'88, pages 291 30T, 1988.
[6]
A. Griftiths, H.C. Luckhurst, and P. Willett. Using interdocument similarity in document retrieval systems. Journal of the American Society for Information Science, ar:a 11, 1986.
[7]
A.G. Hauptmann, R.E. Jones, K. Seymore, S.T. Slattery, M.J. Witbrock, and M.A. Siegler. Experiments in information retrieval from spoken documents. In Pwceedings of the Bwadcast News T'vunscription and Understanding Worshop, pages 175 181, 1998.
[8]
W.J. Hutchins. The concept of "aboutness" in subject indexing. Aslib Proceedings, 30:172 181, 1978.
[9]
N. Jardine and C.J. van Rijsbergen. The use of hierarchical clustering in information retrieval. Information Storage and t~etrieval, 7(5):21~240, 1971.
[10]
Y. Jing and W.B. Croft. An association thesaururs for information retrieval. In tilA 0 9~ Confersnce Proceedings, pages 146 160, October 1994.
[11]
G.J.F. Jones, J.T. I~bote, K. Sparck Jones, and S.J. Young. Retrieving spoken documents by combining multiple index sources. In Proceedings of SIGIR'96, pages 30 38. ACM, New York, August 1996.
[12]
K. Sparck Jones. Automatic Keywo'nl ClassiJication for" Information Retrieval. Butterworths, London, 1971.
[13]
T. Joyce and R.M. Needham. The thesaurus approach to information retrieval. American Documentation, 9:192 197, 1958.
[14]
K.L. Kwok. The use of titles and cited titles as document representations for automatic classification. Information Processing and Management, 11(8-12):201 206, 1975.
[15]
K. Ng and V. Zue. Subword unit representations for spoken document retrieval. In Eurvspeech 97, pages 1607 1610, 1997.
[16]
Y. Qiu and H.P. Frei. Concept based query expansion. In Proceedings of SIGIR'98, pages 160 169, June 1998.
[17]
L. Rabiner and B.H. auang, l~ndamentals of Speech Recognition. Prentice Hall, 1993.
[18]
S.E. Robertson aad S. Walker. Some simple effective approximations to the 2 poisson model for probabilistic weighted retrieval. In Prvceedings of SIGIR'9~, pages 232 241. Springer-Verlag, New York, July 1994.
[19]
J.J. Rocchio. Relevance feedback in information retrieval. In Gerard Salton, editor, The SMART Retrieval System Experiments in Automatic Document Processing, pages 313 323, Englewood Cliffs, N J, 1971. Prentice Hall, Inc.
[20]
R.C. Rose. Techniques for information retrieval from speech messages. Lincoln Laboratory Journal, 41(1):45 60, 1991.
[21]
Gerard Salton. Associative document retrieval techniques using bibliographic information. Journal of the American Society for" Information Science, 10(4):440 457, October 1963.
[22]
Gerard Salton. Cluster search strategies and the optimization of retrieval effectiveness. In Gerard Salton, editor, The SMART Retrieval System Experiments in Automatic Document Processing, pages 223 242, Englewood Cliffs, N J, 1971. Prentice Hall, Inc.
[23]
Gerard Salton and M.E. Lesk. Computer evMuation of indexing and text processing. Journal of the Association for Computing Machinery, 15:8 36, 1968.
[24]
Amit Singhal. Term Weightin9 Revisited. PhD thesis, Depm-tment of Computer Science, Cornell University, Ithaca, NY, January 1997.
[25]
Amit Singhal, John Choi, Donald Hindle, David Lewis, and Fernando Pereira. AT&T at TREC-7. In Proceedings of the Seventh Text REtrieval Conference (TtgE6'-7), 1999 (to appear).
[26]
Kazem Taghva, Julie Borsack, Allen Condit, and Srinivas Erva. The effects of noisy data on text retrieval. Journal of the American Society for Information Science, 45(1):50 58, January 1994.
[27]
Ellen Voorhees. The effectiveness and elJiciency of agglomerative hierarchical clustering in document retrieval. PhD thesis, Department of Computer Science, Cornell University, Ithaca, NY, January 1986.
[28]
E.M. Voorhees and D.K. Harman. Overview of the seventh Text REtrieval Conference (TREC-7). In Proceedings of the Seventh Text REtrieval Conference (TtiEC-7), 1999 (to appear).
[29]
M. Wechsler, E. Munteanu, and P. Schauble. New techniques for open vocabulary spoken document retrieval. In Proceedings of SIGIR'98, pages 20 27. ACM Press, August 1998.
[30]
P. Willett. Recent trends in hierarchic document clustering: A critical review. Information Prvcessing and Management, 24(5):57~598, 1988.
[31]
M.J. Witbrock and A.G. Hauptmann. Using words and phonetic strings for efticient information retrieval from imperfectly transcribed spoken documents. In Prvceedings of DL'97; pages 30 35. ACM, 1997.

Cited By

View all
  • (2023)Information Retrieval: Recent Advances and BeyondIEEE Access10.1109/ACCESS.2023.329577611(76581-76604)Online publication date: 2023
  • (2023)Bengali document retrieval using a language modeling approach enhanced by improved cluster-based smoothingSādhanā10.1007/s12046-023-02258-148:4Online publication date: 4-Oct-2023
  • (2023)Bengali Document Retrieval Using Model CombinationProceedings of International Conference on Frontiers in Computing and Systems10.1007/978-981-99-2680-0_9(91-101)Online publication date: 1-Aug-2023
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
August 1999
339 pages
ISBN:1581130961
DOI:10.1145/312624
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: 01 August 1999

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Conference

SIGIR99
Sponsor:

Acceptance Rates

SIGIR '99 Paper Acceptance Rate 33 of 135 submissions, 24%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)122
  • Downloads (Last 6 weeks)23
Reflects downloads up to 14 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Information Retrieval: Recent Advances and BeyondIEEE Access10.1109/ACCESS.2023.329577611(76581-76604)Online publication date: 2023
  • (2023)Bengali document retrieval using a language modeling approach enhanced by improved cluster-based smoothingSādhanā10.1007/s12046-023-02258-148:4Online publication date: 4-Oct-2023
  • (2023)Bengali Document Retrieval Using Model CombinationProceedings of International Conference on Frontiers in Computing and Systems10.1007/978-981-99-2680-0_9(91-101)Online publication date: 1-Aug-2023
  • (2022)Semantic Models for the First-Stage Retrieval: A Comprehensive ReviewACM Transactions on Information Systems10.1145/348625040:4(1-42)Online publication date: 24-Mar-2022
  • (2021)Towards adaptive structured Dirichlet smoothing model for digital resource objectsMultimedia Tools and Applications10.1007/s11042-020-10305-wOnline publication date: 9-Jan-2021
  • (2019)Query Expansion for Effective Retrieval Results of Hindi–English Cross-Lingual IRApplied Artificial Intelligence10.1080/08839514.2019.157701833:7(567-593)Online publication date: 8-Apr-2019
  • (2019)Opportunities and challenges in enhancing access to metadata of cultural heritage collections: a surveyArtificial Intelligence Review10.1007/s10462-019-09773-wOnline publication date: 9-Oct-2019
  • (2018)Pseudo Descriptions for Meta-Data RetrievalProceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3234944.3234957(139-146)Online publication date: 10-Sep-2018
  • (2017)Document Expansion Using External CollectionsProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080716(1045-1048)Online publication date: 7-Aug-2017
  • (2017)Query expansion based on term selection for Hindi – English cross lingual IRJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2017.09.002Online publication date: Sep-2017
  • Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media