This chapter focuses on computational approaches to the automatic extraction of terms from domain specific corpora. The different subtasks of Automatic Term Extraction are presented in detail, including corpus compilation, unithood, termhood and variant detection, and system evaluation.
2022. CQL Grammars for Lexical and Semantic Information Extraction for Portuguese and Italian. In Computational Processing of the Portuguese Language [Lecture Notes in Computer Science, 13208], ► pp. 376 ff.
2022. ETBTRank: Ranking Biterms in Paper Titles for Emerging Topic Discovery. In AI 2021: Advances in Artificial Intelligence [Lecture Notes in Computer Science, 13151], ► pp. 775 ff.
Hoste, Veronique, Klaar Vanopstal, Ayla Rigouts Terryn & Els Lefever
2019. The Trade-off between Quantity and Quality. Comparing a Large Crawled Corpus and a Small Focused Corpus for Medical Terminology Extraction. Across Languages and Cultures 20:2 ► pp. 197 ff.
Nugumanova, Aliya, Igor Bessmertny, Yerzhan Baiburin & Madina Mansurova
2016. A New Operationalization of Contrastive Term Extraction Approach Based on Recognition of Both Representative and Specific Terms. In Knowledge Engineering and Semantic Web [Communications in Computer and Information Science, 649], ► pp. 103 ff.
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