Computational terminology and filtering of terminological information

Introduction
• Computational terminology and filtering of terminological information: Introduction to the special issue
  Patrick Drouin, Natalia Grabar, Thierry Hamon, Kyo Kageura & Koichi Takeuchi | pp. 1–6
Articles
• NWJC2Vec: Word embedding dataset from ‘NINJAL Web Japanese Corpus’
  Masayuki Asahara | pp. 7–22
• Distributed specificity for automatic terminology extraction
  Ehsan Amjadian, Diana Inkpen, T. Sima Paribakht & Farahnaz Faez | pp. 23–40
• Clinical sublanguages: Vocabulary structure and its impact on term weighting
  Leonie Grön & Ann Bertels | pp. 41–65
• Recognition of irrelevant phrases in automatically extracted lists of domain terms
  Agnieszka Mykowiecka, Małgorzata Marciniak & Piotr Rychlik | pp. 66–90
• HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources
  Paul Thompson & Sophia Ananiadou | pp. 91–121
• 
  Improving term candidates selection using terminological tokens
  Mercè Vàzquez & Antoni Oliver | pp. 122–147

Cited by one other publication

Humbert-Droz, Julie, Aurélie Picton & Anne Condamines

2019. How to build a corpus for a tool-based approach to determinologisation in the field of particle physics. Research in Corpus Linguistics 7 ► pp. 1 ff.

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