no code implementations • WNUT (ACL) 2021 • Arij Riabi, Benoît Sagot, Djamé Seddah
Recent impressive improvements in NLP, largely based on the success of contextual neural language models, have been mostly demonstrated on at most a couple dozen high- resource languages.
no code implementations • CONSTRAINT (ACL) 2022 • Syrielle Montariol, Étienne Simon, Arij Riabi, Djamé Seddah
We propose our solution to the multimodal semantic role labeling task from the CONSTRAINT’22 workshop.
no code implementations • JEP/TALN/RECITAL 2022 • Arij Riabi, Syrielle Montariol, Djamé Seddah
La tâche de détection de contenus haineux est ardue, car elle nécessite des connaissances culturelles et contextuelles approfondies ; les connaissances nécessaires varient, entre autres, selon la langue du locateur ou la cible du contenu.
1 code implementation • arXiv 2023 • Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Šuppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubešić, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
Ranked #1 on Named Entity Recognition (NER) on UNER v1 (Danish)
no code implementations • 24 Oct 2022 • Syrielle Montariol, Arij Riabi, Djamé Seddah
Zero-shot cross-lingual transfer learning has been shown to be highly challenging for tasks involving a lot of linguistic specificities or when a cultural gap is present between languages, such as in hate speech detection.
no code implementations • 26 Oct 2021 • Arij Riabi, Benoît Sagot, Djamé Seddah
Recent impressive improvements in NLP, largely based on the success of contextual neural language models, have been mostly demonstrated on at most a couple dozen high-resource languages.
1 code implementation • EMNLP 2021 • Arij Riabi, Thomas Scialom, Rachel Keraron, Benoît Sagot, Djamé Seddah, Jacopo Staiano
Coupled with the availability of large scale datasets, deep learning architectures have enabled rapid progress on the Question Answering task.