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== Automatic extraction of glossaries == [[Text processing|Computational approaches]] to the automated extraction of glossaries from corpora<ref>J. Klavans and S. Muresan. [https://www.cs.columbia.edu/~smara/publications/klavans-amia01.pdf Evaluation of the Definder System for Fully Automatic Glossary Construction] {{Webarchive|url=https://web.archive.org/web/20191222044813/http://www.cs.columbia.edu/~smara/publications/klavans-amia01.pdf |date=2019-12-22 }}. In ''Proc. of American Medical Informatics Association Symp.'', 2001, pp. 324β328.</ref> or the Web<ref>A. Fujii, T. Ishikawa. [http://www.aclweb.org/anthology/P00-1062 Utilizing the World Wide Web as an Encyclopedia: Extracting Term Descriptions from Semi-Structured Texts]. In ''Proc. 38th Ann. Meeting Assoc. for Computational Linguistics'', 2000, pp. 488β495.</ref><ref>P. Velardi, R. Navigli, P. D'Amadio. [https://ieeexplore.ieee.org/document/4629722/;jsessionid=6EA3B4D4BD97E08BFCF5252EC653A1EA?arnumber=4629722 Mining the Web to Create Specialised Glossaries], IEEE Intelligent Systems, 23(5), IEEE Press, 2008, pp. 18-25.</ref> have been developed in the recent years{{clarify timeframe|date=April 2025}}. These methods typically start from domain [[terminology]] and extract one or more glosses for each term of interest. Glosses can then be analyzed to extract [[hypernym]]s of the defined term and other lexical and semantic relations.
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