| 1 |
Terminologies augmented recurrent neural network model for clinical named entity recognition
|
|
|
|
In: ISSN: 1532-0464 ; EISSN: 1532-0480 ; Journal of Biomedical Informatics ; https://hal.archives-ouvertes.fr/hal-02428771 ; Journal of Biomedical Informatics, Elsevier, 2020, 102, pp.103356. ⟨10.1016/j.jbi.2019.103356⟩ (2020)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Inference Annotation of a Chinese Corpus for Opinion Mining
|
|
|
|
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project
|
|
|
|
In: Annual Conference of the European Association for Machine Translation ; https://hal.archives-ouvertes.fr/hal-03103205 ; Annual Conference of the European Association for Machine Translation, Nov 2020, Lisbon, Portugal. pp.471-472 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
The language industry at the age of data ; La industria del lenguaje en la era del dato
|
|
|
|
In: Revista Abaco ; https://hal.archives-ouvertes.fr/hal-02912828 ; Revista Abaco, 2020 (2020)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Inference Annotation of a Chinese Corpus for Opinion Mining
|
|
|
|
In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
The NLP4NLP Corpus (II): 50 Years of Research in Speech and Language Processing
|
|
|
|
In: ISSN: 2504-0537 ; EISSN: 2504-0537 ; Frontiers in Research Metrics and Analytics ; https://hal.archives-ouvertes.fr/hal-02413749 ; Frontiers in Research Metrics and Analytics, Frontiers Media, 2019, 3, pp.1-30 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
French Levothyrox® Crisis: Retrospective Analysis of Social Media
|
|
|
|
In: International Society of Pharmacovigilance ; https://hal.archives-ouvertes.fr/hal-02411632 ; International Society of Pharmacovigilance, Springer International Publishing, Oct 2019, Bogota, Colombia (2019)
|
|
Abstract:
International audience ; Introduction and Background: Since June 2011, the European legislation allows patients and patients' organizations to report adverse drug reactions (ADRs). In France, in 2017, more than 32,000 ADRs were reported by patients representing 42% of all ADRs collected yearly and an unexpected increase in patient reports (5.8% in 2016). Most of these cases involved the new Levothyrox® formulation (available since March 2017), leading to the "French Levothyrox® Crisis" [1]. To evaluate whether such crises can be predicted by analyzing social media data, the PHARES multidisciplinary consortium carried out the Levothyrox® case study that is described in this abstract. The PHARES project was funded from 2017 to 2019 by the French National Agency for the Safety of Medicines and Health Products (ANSM [2]) with the objective to implement a computerized tool for social media mining. Objectives: Quantitative and qualitative analysis of Levothyrox® mentions in a French web site dedicated to thyroid pathology to investigate whether social media may be useful to predict ADR-related crises. Methods: All posts published in the forums of the "Vivre sans thyroïde" website were collected and annotated automatically using machine learning and natural language processing methods to identify mentions of drugs and potential Adverse Events (AE) [3, 4]. Only posts containing at least one mention of Levothyrox® or levothyroxine were considered as our analysis collection. From this data sample, we first counted the number of posts per each verbatim detected by the annotation algorithm to identify those AEs most mentioned with Levothyrox®. The 100 most mentioned verbatims were then manually reviewed and classified into categories by a pharmacovigilance expert (cf. Table 1). This manual step generated an association list (verbatim -> Category) that we used as a reference to generate the following statistics over the whole collection: the number of posts per category, the number of posts per AE in each category, and the evolution over time of the number of posts per AE and per category and a time-series analysis using change-point analysis method (CPA) [5].Results: As for July 2018, the studied website contained over 900 thousand posts published since 2001. The evolution of the number of AE mentions associated to Levothyrox® from June 2005 to July 2018 shows no particular rise was present before the first declaration to the pharmacovigilance network. The qualitative analysis of the categories selected for this study resulted in: 25% of General AE, 25% of Levothyrox® indication, 18% of neurological and psychiatric effects, 7% of seriousness description ("emergency", "consultation", "crisis") and 5% of cardiovascular effects. The main AEs associated to general effects are "tiredness", "weight gain" and "pain". The CPA method shows a change point one month before the beginning of the crisis.Conclusion and perspectives: To our knowledge, this study is the first retrospective analysis of social media data following a drug health crisis. It concerns a new formulation of a drug used by more than 3 million people in France, leading to thousands of patients' complaints about ADRs. Most of the collected AEs were expected, some of them may be difficult to classify and a human evaluation is still required. The detected change point corresponds to a low variation and further investigations need to be performed.
|
|
Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; ANSM; Information Extraction; Levothyrox; Natural Language Processing; Pharmacovigilance
|
|
URL: https://hal.archives-ouvertes.fr/hal-02411632
|
|
BASE
|
|
Hide details
|
|
|
| 8 |
The NLP4NLP Corpus (I): 50 Years of Publication, Collaboration and Citation in Speech and Language Processing
|
|
|
|
In: ISSN: 2504-0537 ; EISSN: 2504-0537 ; Frontiers in Research Metrics and Analytics ; https://hal.archives-ouvertes.fr/hal-02413751 ; Frontiers in Research Metrics and Analytics, Frontiers Media, 2019, 3, pp.1-30 (2019)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Unsupervised learning of natural language morphology using non-parametric bayesian models ; Apprentissage non-supervisé de la morphologie des langues à l’aide de modèles bayésiens non-paramétriques
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-02354184 ; Informatique et langage [cs.CL]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLS203⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
A Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content
|
|
|
|
In: The 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19) ; https://hal.archives-ouvertes.fr/hal-02270524 ; The 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19), Sep 2019, Turku, Finland ; https://nodalida2019.org/index.html (2019)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Recognition of sub-sentential translation techniques : from resources to validation ; Reconnaissance des procédés de traduction sous-phrastiques : des ressources aux validations
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-02460548 ; Informatique et langage [cs.CL]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLS489⟩ (2019)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
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
|
|
|
| 13 |
User profile detection in health online fora
|
|
|
|
In: International Congress of the European Federation for Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01971156 ; International Congress of the European Federation for Medical Informatics, Adrien Ugon, Daniel Karlsson, Gunnar O. Klein, Anne Moen, Apr 2018, Gothenburg, Sweden (2018)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Sign Language Video Analysis For Automatic Recognition and Detection
|
|
|
|
In: 20th International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02146365 ; 20th International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2018, Galway, Ireland (2018)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Knowledge Base Population based on Entity Graph Analysis ; Peuplement d'une base de connaissance fondé sur l'exploitation d'un graphe d'entités
|
|
|
|
In: https://tel.archives-ouvertes.fr/tel-01810983 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLS092⟩ (2018)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
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
|
|
|
| 17 |
IRIT at e-Risk 2018
|
|
|
|
In: CLEF 2018 Working Notes ; 9th Conference and Labs of the Evaluation Forum, Living Labs (CLEF 2018) ; https://hal.archives-ouvertes.fr/hal-02290007 ; 9th Conference and Labs of the Evaluation Forum, Living Labs (CLEF 2018), Sep 2018, Avignon, France. pp.1-12 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
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
|
|
|
| 19 |
Reuse and Plagiarism in Speech and Natural Language Processing
|
|
|
|
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-01840700 ; International Journal on Digital Libraries, Springer Verlag, 2017, 18, pp.1-14 (2017)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Creation of a multilingual aligned corpus with Ukrainian as the target language and its exploitation
|
|
|
|
In: Computational Linguistics and Intelligent Systems ; https://hal.archives-ouvertes.fr/hal-01736363 ; Computational Linguistics and Intelligent Systems, Apr 2017, Kharkiv, Ukraine (2017)
|
|
BASE
|
|
Show details
|
|
|
|
|
