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A semantic concordance

Authors:

George A. Miller,

Claudia Leacock,

Randee Tengi,

Ross T. BunkerAuthors Info & Claims

HLT '93: Proceedings of the workshop on Human Language Technology

Pages 303 - 308

https://doi.org/10.3115/1075671.1075742

Published: 21 March 1993 Publication History

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Abstract

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.

References

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Miller, G. A. (ed.), WordNet: An on-line lexical database. International Journal of Lexicography (special issue), 3(4):235--312, 1990.

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Leacock, C. ConText: A tool for semantic tagging of text: User's guide. Cognitive Science Laboratory, Princeton University: CSL Report N. 54, February 1993.

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HLT '93: Proceedings of the workshop on Human Language Technology

March 1993

421 pages

ISBN:1558603247

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Association for Computational Linguistics

United States

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Published: 21 March 1993

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Cao YJin CTang YWei Z(2024)Word Sense Disambiguation Combining Knowledge Graph and Text Hierarchical StructureACM Transactions on Asian and Low-Resource Language Information Processing10.1145/367752423:12(1-16)Online publication date: 25-Jul-2024
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Lin THung MLee L(2024)Leveraging Dual Gloss Encoders in Chinese Biomedical Entity LinkingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/363855523:2(1-15)Online publication date: 8-Feb-2024
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Navigli RConia SRoss B(2023)Biases in Large Language Models: Origins, Inventory, and DiscussionJournal of Data and Information Quality10.1145/359730715:2(1-21)Online publication date: 22-Jun-2023
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Sentence generation by semantic concordance

Using a semantic concordance for sense identification

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