Entité de rattachement
Laboratoire informatique et Systématique (LIS-C)

Présentation

Titre de la thèse :  « Enrichissement joint des bases de connaissances, de textes et d’images, par apprentissage automatique dans le contexte de l’identification en biodiversité »

 

Publications

2024
  • Nainia Ayoub, Vignes-Lebbe Régine, Chenin Eric, Sahraoui Maya, Mousannif Hajar & Zahir Jihad, août 2024FloraNER: A new dataset for species and morphological terms named entity recognition in French botanical text. FloraNER is a distantly supervised named entity recognition dataset (NER). The dataset is built from botanical French… Data in Brief vol. 56, , p. 110824 ISBN: 2352-3409 Publisher: Elsevier Type: 10.1016/j.dib.2024.110824
  • Nainia Ayoub, Vignes-Lebbe Régine, Chenin Eric, Sahraoui Maya, Mousannif Hajar & Zahir Jihad, mars 2024« A transformer-based nlp pipeline for enhanced extraction of botanical information using camembert on french literature » in 5th international conference on NLP & information retrieval (NLPI 2024).. vol. 14, , p. 59-78 Number: 06 tex.hal_id: hal-04536866 tex.hal_version: v1
2023
  • Sahraoui Maya, Sklab Youcef, Pignal Marc, Vignes Lebbe Régine & Guigue Vincent, octobre 2023« Leveraging Multimodality for Biodiversity Data: Exploring joint representations of species descriptions and specimen images using CLIP » in TDWG.. In recent years, the field of biodiversity data analysis has witnessed significant advancements, with a number of models… vol. 7, , Type: 10.3897/biss.7.112666
2022
  • Sahraoui Maya, Pignal Marc, Vignes Lebbe Régine & Guigue Vincent, 2022NEARSIDE : Structured kNowledge extraction frAmework from SpecIes DEscriptions. Biodiversity Information Science and Standards vol. 6, , Publisher: Sofia : Pensoft Publishers, 2017- tex.hal_id: hal-03897571 tex.hal_version: v1