French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes-Reference-Cited by-同舟云学术

French FastContext: A publicly accessible system for detecting negation, temporality and experiencer in French clinical notes

Published:2021-05 Issue: Volume:117 Page:103733
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Mirzapour Mehdi,Abdaoui Amine,Tchechmedjiev Andon,Digan William,Bringay Sandra,Jonquet Clement

Funder

EU Framework Programme for Research and Innovation Marie Sklodowska-Curie Actions

French National Research Agency

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference52 articles.

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3. ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus;Afzal;BMC Bioinform.,2014

4. S. Benoît, F. Darja, Building a free French wordnet from multilingual resources, in: Ontolex 2008 in association with 6th International Conference on Language Resources and Evaluation (LREC2008), Marrakech, Maroc, 2008.

5. S. Bird, NLTK: the natural language toolkit, COLING/ACL on Interactive presentation sessions, Sydney, Australia, p. 69–72, july 2006.

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