The DOI matches its Crossref record.
Contextual correlates of semantic similarity
Abstract
The relationship between semantic and contextual similarity is investigated for pairs of nouns that vary from high to low semantic similarity. Semantic similarity is estimated by subjective ratings; contextual similarity is estimated by the method of sorting sentential contexts. The results show an inverse linear relationship between similarity of meaning and the discriminability of contexts. This relation, is obtained for two separate corpora of sentence contexts. It is concluded that, on average, for words in the same language drawn from the same syntactic and semantic categories, the more often two words can be substituted into the same contexts the more similar in meaning they are judged to be.
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Cited by
Glove: Global Vectors for Word Representation
Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1162 · Cited by 34,071
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015
“Miller and Charles [ 5 ] proposed that a contextual representation associated with each sense characterizes sentential contexts in which a given word can be used to express that sense.”
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
A Survey of the Usages of Deep Learning for Natural Language Processing
Otter, D. W., Medina, J. R., & Kalita, J. K. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2979670 · Cited by 1,836
Metadata
- Authors
- Miller, G. A., & Charles, W. G.
- Venue
- Language and Cognitive Processes
- Publisher
- Informa UK Limited
- Published
- 1991-01
- Volume
- 6
- Issue
- 1
- Pages
- 1-28
- ISSN
- 0169-0965 (ISSN-L)
- 1464-0732
- OpenAlex
- W2103318667
- Cited by
- 1,594
- References
- 0
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- closed
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