Nainia Ayoub, Vignes-Lebbe Régine, Chenin Eric, Sahraoui Maya, Mousannif Hajar & Zahir Jihad, août 2024 — FloraNER: 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
https://hal.science/hal-04692857
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
https://dx.doi.org/10.5121/csit.2024.140605
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
https://hal.science/hal-04287622
Sahraoui Maya, Pignal Marc, Vignes Lebbe Régine & Guigue Vincent, 2022 — NEARSIDE : 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
https://dx.doi.org/10.3897/biss.6.94297