Article

Noun sense induction using web search results

Authors:

Goldee Udani,

Shachi Dave,

Anthony Davis,

Tim SibleyAuthors Info & Claims

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 657 - 658

https://doi.org/10.1145/1076034.1076176

Published: 15 August 2005 Publication History

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Abstract

This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any other external knowledge source. Preliminary results on a small dataset show that this technique provides two advantages over other techniques in the literature: it detects real-world senses not found in dictionaries or other lexical resources, and it does not require that the number of word senses be specified in advance.

References

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Liu, H. MontyLingua: Commonsense-Informed Natural Language Understanding Tools (2003). Available at: http://web.media.mit.edu/~hugo/montylingua

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Martinez, D. and Agirre, E. The effect of bias on an automatically-built word sense corpus. In Proceedings of the Fourth International Conference on Language Resources and Evaluations (LREC-04)(Lisbon, Portugal, May 24-30, 2004).

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Purandare, A. and Pedersen, T. SenseClusters - Finding Clusters that Represent Word Senses. In Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI-04) (San Jose, USA, July 25-29, 2004).

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Schütze, H. Automatic Word Sense Discrimination. Computational Linguistics, 24(1):97--123, 1998.

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Yarowsky, D. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 189--196, 1995.

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Cited By

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Huang YXiong DShi XChen YWu CHuang G(2016)Adapted competitive learning on continuous semantic space for word sense inductionNeurocomputing10.1016/j.neucom.2015.07.090171:C(1475-1485)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.07.090
Huang YShi XSu JChen YHuang G(2015)Unsupervised word sense induction using rival penalized competitive learningEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.02.00441(166-174)Online publication date: May-2015
https://doi.org/10.1016/j.engappai.2015.02.004
Di Marco ANavigli R(2013)Clustering and Diversifying Web Search Results with Graph-Based Word Sense InductionComputational Linguistics10.1162/COLI_a_0014839:3(709-754)Online publication date: Sep-2013
https://doi.org/10.1162/COLI_a_00148
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Index Terms

Noun sense induction using web search results
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
  2. Information systems applications
    1. Data mining
      1. Clustering

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Information & Contributors

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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SIGIR05

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SIGIR

SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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

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Cited By

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Huang YXiong DShi XChen YWu CHuang G(2016)Adapted competitive learning on continuous semantic space for word sense inductionNeurocomputing10.1016/j.neucom.2015.07.090171:C(1475-1485)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.07.090
Huang YShi XSu JChen YHuang G(2015)Unsupervised word sense induction using rival penalized competitive learningEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.02.00441(166-174)Online publication date: May-2015
https://doi.org/10.1016/j.engappai.2015.02.004
Di Marco ANavigli R(2013)Clustering and Diversifying Web Search Results with Graph-Based Word Sense InductionComputational Linguistics10.1162/COLI_a_0014839:3(709-754)Online publication date: Sep-2013
https://doi.org/10.1162/COLI_a_00148
Navigli RCrisafulli GLi HMàrquez L(2010)Inducing word senses to improve web search result clusteringProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870670(116-126)Online publication date: 9-Oct-2010
https://dl.acm.org/doi/10.5555/1870658.1870670
Anaya-Sánchez HPons-Porrata ABerlanga-Llavori R(2006)Word sense disambiguation based on word sense clusteringProceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence10.1007/11874850_51(472-481)Online publication date: 23-Oct-2006
https://dl.acm.org/doi/10.1007/11874850_51

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