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• W1493446876 abstract "In the course of reviewing existing automatic termrecognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed a new mechanism that incorporates both statistical and linguistic evidences for the computation of a final weight defined as Termhood (TH) for ranking term candidates. The analysis of the frequency distributions of the term candidates during our initial experiments revealed three advantages for higher quality term recognition." @default.
• W1493446876 created "2016-06-24" @default.
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• W1493446876 date "2007-12-03" @default.
• W1493446876 modified "2023-10-18" @default.
• W1493446876 title "Determining termhood for learning domain ontologies using domain prevalence and tendency" @default.
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