The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A semantic concordance
Open accessAbstract
A semantic concordance is a textual corpus and a lexicon so combined that every substantive word in the text is linked to its appropriate sense in the lexicon. Thus it can be viewed either as a corpus in which words have been tagged syntactically and semantically, or as a lexicon in which example sentences can be found for many definitions. A semantic concordance is being constructed to use in studies of sense resolution in context (semantic disambiguation). The Brown Corpus is the text and WordNet is the lexicon. Semantic tags (pointers to WordNet synsets) are inserted in the text manually using an interface, ConText, that was designed to facilitate the task. Another interface supports searches of the tagged text. Some practical uses for semantic concordances am proposed.
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(1967) · Medical Entomology and Zoology · Cited by 7,532
Introduction to WordNet: An On-line Lexical Database*
Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. J. (1990) · International Journal of Lexicography · doi:10.1093/ijl/3.4.235 · Cited by 4,197
Self-citationFREQUENCY ANALYSIS OF ENGLISH USAGE: LEXICON AND GRAMMAR
Francis, W. N., Kučera, H., & Mackie, A. W. (1983) · Medical Entomology and Zoology · Cited by 2,310
A simple rule-based part of speech tagger
Brill, E. (1992) · Proceedings of the third conference on Applied natural language processing - · doi:10.3115/974499.974526 · Cited by 1,413
Miller, G. A., & Fellbaum, C. (1991) · Cognition · doi:10.1016/0010-0277(91)90036-4 · Cited by 444
Self-citationA simple rule-based part of speech tagger
Brill, E. (1992) · DARPA Workshop on Speech and Natural Language (HLT) · doi:10.3115/1075527.1075553 · Cited by 291
Cited by
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
“Semantic concordances are being prepared to provide a basis for empirical studies of sense identification [7].”
BackgroundSelf-citationSemantic Similarity Based on Corpus Statistics and Lexical Taxonomy
Jiang, J. J., & Conrath, D. W. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9709008 · Cited by 2,743
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887
Biases in Large Language Models: Origins, Inventory, and Discussion
Navigli, R., Conia, S., & Ross, B. (2023) · Journal of Data and Information Quality · doi:10.1145/3597307 · Cited by 364
Quantifying gender bias towards politicians in cross-lingual language models
Stańczak, K., Ray Choudhury, S., Pimentel, T., Cotterell, R., & Augenstein, I. (2023) · PLOS ONE · doi:10.1371/journal.pone.0277640 · Cited by 13
Metadata
- Authors
- Miller, G. A., Leacock, C., Tengi, R., & Bunker, R. T.
- Venue
- Proceedings of the workshop on Human Language Technology - HLT '93
- Published
- 1993
- Pages
- 303
- OpenAlex
- W2065157922
- Cited by
- 601
- References
- 6
- FWCI
- 4.08
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Miller, G. A., Leacock, C., Tengi, R., & Bunker, R. T. (1993). A semantic concordance. Proceedings of the workshop on Human Language Technology - HLT '93. https://doi.org/10.3115/1075671.1075742
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.