Article

Free access

Measuring semantic similarity in the taxonomy of WordNet

Authors:

Dongqiang Yang,

David M. W. PowersAuthors Info & Claims

ACSC '05: Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38

Pages 315 - 322

Published: 01 January 2005 Publication History

Abstract

This paper presents a new model to measure semantic similarity in the taxonomy of WordNet, using edge-counting techniques. We weigh up our model against a benchmark set by human similarity judgment, and achieve a much improved result compared with other methods: the correlation with average human judgment on a standard 28 word pair dataset is 0.921, which is better than anything reported in the literature and also significantly better than average individual human judgments. As this set has been effectively used for algorithm selection and tuning, we also cross-validate an independent 37 word pair test set (0.876) and present results for the full 65 word pair superset (0.897).

References

[1]

Collins, A. M. and M. R. Quillian (1969). Retrieval Time from Semantic Memory. Journal of Verbal Learning and Verbal Behavior 8: 240--47.

[2]

Finkelstein, Lev et al (2002). Placing Search in Context: The Concept Revisited, ACM Transactions on Information Systems, 20(1): 116--131

Digital Library

[3]

Hirst, G. and D. St. Onge (1995). Lexical Chains as Representations of Context for the Detection and Correction of Malapropisms. WordNet. C. Fellbaum. Cambridge, MA, The Mit Press.

[4]

Jarmasz, M. and S. Szpakowicz (2003). Roget's Thesuarus and Semantic Similarity. http://www.site.uottawa.ca/~szpak/recent_papers/TR-2003-01.pdf

[5]

Jiang, J. and D. Conrath (1997). Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. The International Conference Research on Computational Linguistics (ROCLING X), Taiwan.

[6]

Leacock, C. and M. Chodorow (1998). Combining Local Context and WordNet Similarity for Word Sense Identification. WordNet: An Electronic Lexical Database. C. Fellbaum, MIT Press: 265--283.

[7]

Lin, D. (1997). Using Syntactic Dependency as a Local Context to Resolve Word Sense Ambiguity. The 35th Annual Meeting of the Association for Computational Linguistics, Madrid.

Digital Library

[8]

Miller, G. (1995). A Lexical Database for English. Communications of the ACM 38, 11: 39--41.

Digital Library

[9]

Miller, G. A. and W. G. Charles (1991). Contextual Correlates of Semantic Similarity. Language and Cognitive Processes 6(1): 1--28.

[10]

Moldovan, D. I. and R. Mihalcea (2000). "Using WordNet and Lexical Operators to Improve Internet Searches." IEEE Internet Computing 4(1): 34--43.

Digital Library

[11]

Quillian, M. R. (1967). Word concepts: A theory and Simulation of Some Basic Semantic Capabilities. Behavioral Science 12: 410--30.

[12]

Resnik, P. (1995). Using Information Content to Evaluate Semantic Similarity in a Taxonomy. IJCAI-95.

Digital Library

[13]

Rubenstein, H. and J. B. Goodenough (1965). Contextual Correlates of Synonymy. Communications of the ACM 8(10): 627--633.

Digital Library

[14]

Tversky, A. (1977). Features of Similarity. Psychological Review, 84, 327--352.

[15]

Wu, Z. and M. Palmer (1994). Verb Semantics and Lexical Selection. The 32nd. Annual Meeting of the Association for Computational Linguistics.

Digital Library

[16]

Zipf, G. K. (1965). Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology. N. Y., Hafner Pub. Co.

Cited By

Muzellec BCuturi M(2018)Generalizing point embeddings using the wasserstein space of elliptical distributionsProceedings of the 32nd International Conference on Neural Information Processing Systems10.5555/3327546.3327687(10258-10269)Online publication date: 3-Dec-2018
https://dl.acm.org/doi/10.5555/3327546.3327687
Lee YKe HHuang HChen HBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Combining Word Embedding and Lexical Database for Semantic Relatedness MeasurementProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889395(73-74)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2889395
Lee YKe HHuang HChen HBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Less is MoreProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889381(71-72)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2889381
Show More Cited By

Index Terms

Measuring semantic similarity in the taxonomy of WordNet
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Semantic networks
    2. Natural language processing

Recommendations

Research on Ontology-Based Measuring Semantic Similarity
ICICSE '08: Proceedings of the 2008 International Conference on Internet Computing in Science and Engineering

Ontology is an explicit specification of a conceptualization on semantic and knowledge. This paper presents a formal definition on ontology and gives an example. Then, a method to measuring semantic similarity is presented. Semantic similarity is ...
Evaluating semantic similarity and relatedness over the semantic grouping of clinical term pairs

Display Omitted Objective: develop a method to quantify the similarity and relatedness of biomedical and clinical term pairs.Semantic similarity and relatedness measures exploit information extrapolated from the Unified Medical Language System.Evaluates ...
Measuring Semantic Similarity Based on WordNet
WISA '09: Proceedings of the 2009 Sixth Web Information Systems and Applications Conference

Semantic similarity between concepts is a fundamental problem and plays an important role in many applications of artificial intelligence, knowledge sharing and Web mining. In this paper, a new measure based on semantic ontology database WordNet is ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image DL Hosted proceedings

ACSC '05: Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38

January 2005

365 pages

ISBN:1920682201

Editor:
Vladimir Estivill-Castro
Griffith University.

Publisher

Australian Computer Society, Inc.

Australia

Publication History

Published: 01 January 2005

Author Tags

Qualifiers

Article

Conference

ACSC '05

ACSC '05: Computer Science

01 01 2005

Newcastle, Australia

Acceptance Rates

Overall Acceptance Rate 136 of 379 submissions, 36%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

25
Total Citations
View Citations
1,429
Total Downloads

Downloads (Last 12 months)51
Downloads (Last 6 weeks)10

Reflects downloads up to 13 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Muzellec BCuturi M(2018)Generalizing point embeddings using the wasserstein space of elliptical distributionsProceedings of the 32nd International Conference on Neural Information Processing Systems10.5555/3327546.3327687(10258-10269)Online publication date: 3-Dec-2018
https://dl.acm.org/doi/10.5555/3327546.3327687
Lee YKe HHuang HChen HBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Combining Word Embedding and Lexical Database for Semantic Relatedness MeasurementProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889395(73-74)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2889395
Lee YKe HHuang HChen HBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Less is MoreProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2889381(71-72)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2889381
Stanchev LAkerkar RBassiliades NDavies JErmolayev V(2014)Creating a Similarity Graph from WordNetProceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)10.1145/2611040.2611055(1-11)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2611040.2611055
Liu QWu DLiu YCheng X(2014)Extracting Attributes and Synonymous Attributes from Online EncyclopediasProceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0110.1109/WI-IAT.2014.46(290-296)Online publication date: 11-Aug-2014
https://dl.acm.org/doi/10.1109/WI-IAT.2014.46
Mauge KRohanimanesh KRuvini JLi HLin COsborne M(2012)Structuring e-commerce inventoryProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 110.5555/2390524.2390638(805-814)Online publication date: 8-Jul-2012
https://dl.acm.org/doi/10.5555/2390524.2390638
Lárusson JWhite BDawson SHaythornthwaite C(2012)Monitoring student progress through their written "point of originality"Proceedings of the 2nd International Conference on Learning Analytics and Knowledge10.1145/2330601.2330653(212-221)Online publication date: 29-Apr-2012
https://dl.acm.org/doi/10.1145/2330601.2330653
Min WBao BXu C(2012)What happened near big benProceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing10.1007/978-3-642-34778-8_72(769-778)Online publication date: 4-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-34778-8_72
Yang BHeines JTetreault JBurstein JLeacock C(2011)Using semantic distance to automatically suggest transfer course equivalenciesProceedings of the 6th Workshop on Innovative Use of NLP for Building Educational Applications10.5555/2043132.2043150(142-151)Online publication date: 24-Jun-2011
https://dl.acm.org/doi/10.5555/2043132.2043150
Ramezani M(2011)Using Similarity-Based Approaches for Continuous Ontology DevelopmentInternational Journal on Semantic Web & Information Systems10.4018/jswis.20110401037:2(45-64)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.4018/jswis.2011040103
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

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

Figures

Tables

Media

View Table of Conten