1 |
Détection des couples de termes translittérés à partir d'un corpus parallèle anglais-arabe
|
|
|
|
In: Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01899828 ; Conférence sur le Traitement Automatique des Langues Naturelles, May 2018, Rennes, France (2018)
|
|
BASE
|
|
Show details
|
|
2 |
Clinical Natural Language Processing in languages other than English: opportunities and challenges.
|
|
|
|
In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-01842518 ; Journal of Biomedical Semantics, BioMed Central, 2018, 9, 13p. ⟨10.1186/s13326-018-0179-8⟩ (2018)
|
|
BASE
|
|
Show details
|
|
3 |
CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian
|
|
|
|
In: Conference and Labs of the Evaluation Forum, eHealth ; https://hal.archives-ouvertes.fr/hal-02276492 ; Conference and Labs of the Evaluation Forum, eHealth, CEUR, Sep 2018, Avignon, France (2018)
|
|
BASE
|
|
Show details
|
|
4 |
A Multilingual Dataset for Evaluating Parallel Sentence Extraction from Comparable Corpora
|
|
|
|
In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01898362 ; International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan (2018)
|
|
BASE
|
|
Show details
|
|
5 |
GNEG: Graph-Based Negative Sampling for word2vec
|
|
|
|
In: Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01899825 ; Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia (2018)
|
|
BASE
|
|
Show details
|
|
6 |
Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.
|
|
|
|
In: ISSN: 0943-4747 ; EISSN: 2364-0502 ; IMIA Yearbook of Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01990501 ; IMIA Yearbook of Medical Informatics, Schattauer, 2018, 27, pp.193-198 (2018)
|
|
BASE
|
|
Show details
|
|
7 |
Clinical Natural Language Processing in languages other than English: opportunities and challenges
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook
|
|
|
|
Abstract:
Objectives: To summarize recent research and present a selection of the best papers published in 2017 in the field of clinical Natural Language Processing (NLP). Methods: A survey of the literature was performed by the two editors of the NLP section of the International Medical Informatics Association (IMIA) Yearbook. Bibliographic databases PubMed and Association of Computational Linguistics (ACL) Anthology were searched for papers with a focus on NLP efforts applied to clinical texts or aimed at a clinical outcome. A total of 709 papers were automatically ranked and then manually reviewed based on title and abstract. A shortlist of 15 candidate best papers was selected by the section editors and peer-reviewed by independent external reviewers to come to the three best clinical NLP papers for 2017. Results: Clinical NLP best papers provide a contribution that ranges from methodological studies to the application of research results to practical clinical settings. They draw from text genres as diverse as clinical narratives across hospitals and languages or social media. Conclusions: Clinical NLP continued to thrive in 2017, with an increasing number of contributions towards applications compared to fundamental methods. Methodological work explores deep learning and system adaptation across language variants. Research results continue to translate into freely available tools and corpora, mainly for the English language.
|
|
URL: https://doi.org/10.1055/s-0038-1667080 http://www.ncbi.nlm.nih.gov/pubmed/30157523 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6115241/
|
|
BASE
|
|
Hide details
|
|
9 |
Three Dimensions of Reproducibility in Natural Language Processing
|
|
|
|
BASE
|
|
Show details
|
|
|
|