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 1 other publications

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.

This list is based on CrossRef data as of 11 november 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.