The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Word sense disambiguation: A survey
Abstract
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner. WSD is considered an AI-complete problem, that is, a task whose solution is at least as hard as the most difficult problems in artificial intelligence. We introduce the reader to the motivations for solving the ambiguity of words and provide a description of the task. We overview supervised, unsupervised, and knowledge-based approaches. The assessment of WSD systems is discussed in the context of the Senseval/Semeval campaigns, aiming at the objective evaluation of systems participating in several different disambiguation tasks. Finally, applications, open problems, and future directions are discussed.
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Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
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A logical calculus of the ideas immanent in nervous activity
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The anatomy of a large-scale hypertextual Web search engine
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Cited by
Hogan, A., Blomqvist, E., Cochez, M., D’amato, C., Melo, G. D., Gutierrez, C., Kirrane, S., Gayo, J. E. L., Navigli, R., Neumaier, S., et al. (2022) · ACM Computing Surveys · doi:10.1145/3447772 · Cited by 1,904
Self-citationA Survey of Automatic Query Expansion in Information Retrieval
Carpineto, C., & Romano, G. (2012) · ACM Computing Surveys · doi:10.1145/2071389.2071390 · Cited by 1,109
Entity Linking meets Word Sense Disambiguation: a Unified Approach
Moro, A., Raganato, A., & Navigli, R. (2014) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00179 · Cited by 743
Self-citationThe communicative function of ambiguity in language
Piantadosi, S. T., Tily, H., & Gibson, E. (2012) · Cognition · doi:10.1016/j.cognition.2011.10.004 · Cited by 628
“Nearly all frequent words have multiple senses but word senses can be disambiguated reasonably well by computational models (Navigli, 2009), even using very simple knowledge of context or heuristics (Gale, Church, & Yarowsky, 1992; Yarowsky, 1993).”
Machine Learning-Based Sentiment Analysis for Twitter Accounts
Hasan, A., Moin, S., Karim, A., & Shamshirband, S. (2018) · Mathematical and Computational Applications · doi:10.3390/mca23010011 · Cited by 447
Metadata
- Authors
- Navigli, R.
- Venue
- ACM Computing Surveys
- Published
- 2009-02
- Volume
- 41
- Issue
- 2
- Pages
- 1-69
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2436001372
- Cited by
- 1,819
- References
- 6
- FWCI
- 128.31
- Type
- journal article
- Language
- en
- Open access
- closed
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