MilkOligoThesaurus, a dataset of mammalian milk oligosaccharide synonyms

Autor: Mathilde Rumeau, François Fenaille, Agnès Girard, Valentin Loux, Mouhamadou Ba, Claire Nédellec, Louise Deléger, Robert Bossy, Sophie Aubin, Christelle Knudsen, Sylvie Combes

Publikováno v: Data in Brief, Vol 54, Iss , Pp 110404- (2024)

There is a growing interest in milk oligosaccharides (MOs) because of their numerous benefits for newborns’ and long-term health. A large number of MO structures have been identified in mammalian milk. Mostly described in human milk, the oligosacch

Externí odkaz: https://doaj.org/article/c79bce06a41d44c9a72ed220ed3de47a

C-Norm: a neural approach to few-shot entity normalization

Autor: Arnaud Ferré, Louise Deléger, Robert Bossy, Pierre Zweigenbaum, Claire Nédellec

Publikováno v: BMC Bioinformatics, Vol 21, Iss S23, Pp 1-19 (2020)

Abstract Background Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains. In these domains, and more generally in all specializ

Externí odkaz: https://doaj.org/article/88f113a8208d4915abbd31ee9b1d0d68

Do syntactic trees enhance Bidirectional Encoder Representations from Transformers (BERT) models for chemical–drug relation extraction?

Autor: Anfu, Tang, Louise, Deléger, Robert, Bossy, Pierre, Zweigenbaum, Claire, Nédellec

Publikováno v: Database-The journal of Biological Databases and Curation
Database-The journal of Biological Databases and Curation, 2022, 2022, ⟨10.1093/database/baac070⟩

Collecting relations between chemicals and drugs is crucial in biomedical research. The pre-trained transformer model, e.g. Bidirectional Encoder Representations from Transformers (BERT), is shown to have limitations on biomedical texts; more specifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afaff2e1f86fb8ddb7772590443dc868
https://hal.science/hal-03799268

One Health concepts and challenges for surveillance, forecasting and mitigation of plant disease beyond the traditional scope of crop production

Autor: Nicolas Sauvion, Claire Nédellec, Ghislain Géniaux, Cindy E. Morris, Samuel Soubeyrand

Publikováno v: Plant Pathology
Plant Pathology, 2022, 71, pp.86-97. ⟨10.1111/ppa.13446⟩
Plant Pathology, Wiley, 2021, 71, pp.86-97. ⟨10.1111/ppa.13446⟩
Plant Pathology, Wiley, 2022, 71, pp.86-97. ⟨10.1111/ppa.13446⟩

International audience; The One Health approach to understanding disease epidemiology and achieving surveillance and prevention is holistic all while focusing on zoonotic diseases. Many of its principles are similar to those espoused in Agroecology,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::055e7e7c3d4eca62cb7c636dd1b3d14f
https://hal.inrae.fr/hal-03154445

Bacteria Biotope at BioNLP Open Shared Tasks 2019

Autor: Mouhamadou Ba, Louise Deléger, Estelle Chaix, Robert Bossy, Claire Nédellec

Publikováno v: BioNLP-OST@EMNLP-IJNCLP
5. Workshop on BioNLP Open Shared Tasks joint to EMNLP-IJCNLP 2019
5. Workshop on BioNLP Open Shared Tasks joint to EMNLP-IJCNLP 2019, Nov 2019, Hong-Kong, Hong Kong SAR China. ⟨10.18653/v1/D19-5719⟩
Scopus-Elsevier
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, BioNLP-OST@EMNLP-IJNCLP 2019, Hong Kong, China, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-82-6
5th Workshop on BioNLP Open Shared Tasks BioNLP-OST@EMNLP-IJCNLP 2019, Association for Computational Linguistics
5th Workshop on BioNLP Open Shared Tasks BioNLP-OST@EMNLP-IJCNLP 2019, Association for Computational Linguistics, Jin-Dong Kim; Claire Nédellec; Robert Bossy; Louise Deléger, Nov 2019, Hong-Kong, Hong Kong SAR China. ⟨10.18653/v1/D19-5719⟩

International audience; This paper presents the fourth edition of the Bacteria Biotope task at BioNLP Open Shared Tasks 2019. The task focuses on the extraction of the locations and phenotypes of microorganisms from PubMed abstracts and full-text exc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4a6f5b0887791702a514665b9fa4f68
https://doi.org/10.18653/v1/d19-5719