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Julien Knafou
Julien Knafou
University of Applied Sciences and Arts of Western Switzerland, Swiss Institute of Bioinformatics
Verified email at hesge.ch
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Year
BioBERTpt: a portuguese neural language model for clinical Named Entity Recognition
ET Rubel Schneider, JV Andrioli de Souza, J Knafou, LES Oliveira, ...
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
612020
Contextualized French language models for biomedical named entity recognition
J Copara, J Knafou, N Naderi, C Moro, P Ruch, D Teodoro
Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP …, 2020
282020
Named entity recognition in chemical patents using ensemble of contextual language models
J Copara, N Naderi, J Knafou, P Ruch, D Teodoro
arXiv preprint arXiv:2007.12569, 2020
232020
A Data-Driven Approach for Measuring the Severity of the Signs of Depression using Reddit Posts.
P Van Rijen, D Teodoro, N Naderi, L Mottin, J Knafou, M Jeffryes, P Ruch
CLEF (Working Notes), 2019
172019
Algorithmic methods to explore the automation of the appraisal of structured and unstructured digital data
BM Shabou, J Tièche, J Knafou, A Gaudinat
Records management journal 30 (2), 175-200, 2020
142020
Bitem at wnut 2020 shared task-1: Named entity recognition over wet lab protocols using an ensemble of contextual language models
J Knafou, N Naderi, J Copara, D Teodoro, P Ruch
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020
122020
An extended overview of the CLEF 2020 ChEMU lab: information extraction of chemical reactions from patents
J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ...
Proceedings of the CLEF 2020 conference, 2020
102020
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
S Ferdowsi, N Borissov, J Knafou, P Amini, D Teodoro
arXiv preprint arXiv:2110.15710, 2021
92021
Ensemble of deep masked language models for effective named entity recognition in health and life science corpora
N Naderi, J Knafou, J Copara, P Ruch, D Teodoro
Frontiers in research metrics and analytics 6, 689803, 2021
72021
e Oliveira
ETR Schneider, JVA de Souza, J Knafou
LES, Copara, J., Gumiel, YB, et al, 65-72, 2020
72020
UPCLASS: a deep learning-based classifier for UniProtKB entry publications
D Teodoro, J Knafou, N Naderi, E Pasche, J Gobeill, CN Arighi, P Ruch
Database 2020, baaa026, 2020
72020
Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study
S Ferdowsi, J Knafou, N Borissov, DV Alvarez, R Mishra, P Amini, ...
Patterns 4 (3), 2023
52023
An extended overview of the CLEF 2020 ChEMU Lab
J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ...
Proceedings of the CLEF 2020 conference, 2020
52020
SIB text mining at TREC 2020 deep learning track
J Knafou, M Jeffryes, S Ferdowsi, P Ruch
Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020), 2020
52020
SIB Text Mining at TREC 2019 Deep Learning Track: Working Note.
J Knafou, M Jeffryes, L Mottin, D Teodoro, P Ruch
TREC, 2019
32019
Ensemble of deep masked language models for effective named entity recognition in multi-domain corpora
N Naderi, J Knafou, J Copara, P Ruch, D Teodoro
medRxiv, 2021.04. 26.21256038, 2021
22021
Multilingual RECIST classification of radiology reports using supervised learning
L Mottin, JP Goldman, C Jäggli, R Achermann, J Gobeill, J Knafou, ...
Frontiers in digital health 5, 1195017, 2023
12023
Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature
J Knafou, Q Haas, N Borissov, M Counotte, N Low, H Imeri, AM Ipekci, ...
Systematic reviews 12 (1), 94, 2023
12023
Data-driven approach for measuring the severity of the signs of depression using reddit posts: women and men in the orchestra
P Rijen, D Teodoro, N Naderi, L Mottin, J Knafou, P Ruch
Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 …, 2019
12019
BiTeM at WNUT 2020 shared task-1
J Knafou, N Naderi, J Copara, D Teodoro, P Ruch
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020), 2020
2020
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