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Loïc Vial

Loïc Vial has 3 papers in our library, in 2017–2019, most of them on Word sense disambiguation, English, Language models & pretraining; often with Didier Schwab, Benjamin Lecouteux, Alexandre Allauzen.

3 papers in our library · 2017–2019

OpenAlex · ORCID · h-index 5 · 40 works · 158 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 284 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5546

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Laboratoire d'Informatique de GrenobleGrenoble · France2016–2020 · 20 paperscurrent🎓Université Grenoble AlpesSaint-Martin-d'Hères · France2016–2020 · 20 paperscurrent🔬Centre National de la Recherche ScientifiqueParis · France2018–2019 · 2 papers🎓Institut polytechnique de GrenobleGrenoble · France2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 5Research subjects and languages the work is about.French · 1 workLanguage models & pretraining · 1 workEnglish · 2 worksWord sense disambiguation · 2 worksSemitic languages · 1 work

 Works by year

2010s

20191 paper20181 paper20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FlauBERT: Unsupervised Language Model Pre-training for French (2019 · 299 citations)
    Pre-trained contextual language models such as BERT have reshaped NLP. Most of the gains, however, were shown for English. French relied mainly on multilingual models (mBERT, XLM, XLM-R) and had no shared evaluation benchmark. The authors built FlauBERT, a monolingual French model that uses the BERT architecture and…
  2. Uniformisation de corpus anglais annotés en sens (Unification of sense annotated English corpora for word sense disambiguation) (2017 · 1 citation)
    English word sense disambiguation (WSD) has roughly fifteen sense-annotated corpora. They come in different file formats and use different releases of Princeton WordNet, so combining them takes real effort. Habit also splits them unevenly: systems are scored only on corpora built for evaluation, with no scientific…
  3. Traduction automatique de corpus en anglais annotés en sens pour la désambiguïsation lexicale d'une langue moins bien dotée, l'exemple de l'arabe (Automatic Translation of English Sense Annotated Corpora for Word Sense Disambiguation of a Less Well-endowed Language, the Example of Arabic) (2018)
    Arabic Word Sense Disambiguation (WSD) has little sense-annotated training data. Until recently it also had no freely available gold standard, which made systems hard to build and hard to compare. The authors address this by automatically creating Arabic training data from English. They take the 12 English corpora…

All works

11 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. FlauBERT: Unsupervised Language Model Pre-training for FrencharXiv:1912.05372Hang Le, Loïc Vial, Jibril Frej, et al.2019 · 299 citations
  2. Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation ↗Proceedings of the 10th Global Wordnet Conference · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2019 · 91 citations
  3. FlauBERT : des modèles de langue contextualisés pré-entraînés pour le français (FlauBERT : Unsupervised Language Model Pre-training for French) ↗Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 2 : Traitement Automatique des Langues Naturelles · no summary yetHang Le et al.2020 · 4 citations
  4. Uniformisation de corpus anglais annotés en sens (Unification of sense annotated English corpora for word sense disambiguation)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Loïc Vial, Benjamin Lecouteux, Didier Schwab2017 · 1 citation
  5. Apporter des connaissances sémantiques à un jeu de pictogrammes destiné à des personnes en situation de handicap : Un ensemble de liens entre Princeton WordNet et Arasaac, Arasaac-WN (Giving semantic knowledge to a set of pictograms for people with disabilities : a set of links between WordNet and Arasaac, Arasaac-WN ) ↗Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume IV : Démonstrations · no summary yetDidier Schwab et al.2019
  6. Compression de vocabulaire de sens grâce aux relations sémantiques pour la désambiguïsation lexicale (Sense Vocabulary Compression through Semantic Knowledge for Word Sense Disambiguation) ↗Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2019
  7. Traduction automatique de corpus en anglais annotés en sens pour la désambiguïsation lexicale d'une langue moins bien dotée, l'exemple de l'arabe (Automatic Translation of English Sense Annotated Corpora for Word Sense Disambiguation of a Less Well-endowed Language, the Example of Arabic)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Marwa Hadj Salah, Loïc Vial, Hervé Blanchon, et al.2018
  8. Approche supervisée à base de cellules LSTM bidirectionnelles pour la désambiguïsation lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation) ↗Actes de la Conférence TALN. Volume 1 - Articles longs, articles courts de TALN · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2018
  9. Approche supervisée à base de cellules LSTM bidirectionnelles pour la désambiguïsation lexicale [Supervised Approach Based on Bidirectional LSTM Cells for Word Sense Disambiguation] ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2018
  10. Représentation vectorielle de sens pour la désambiguïsation lexicale à base de connaissances (Sense Embeddings in Knowledge-Based Word Sense Disambiguation) ↗Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 - Articles courts · no summary yetLoïc Vial, Benjamin Lecouteux, Didier Schwab2017
  11. Extension lexicale de définitions grâce à des corpus annotés en sens (Lexical Expansion of definitions based on sense-annotated corpus ) ↗Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Articles longs) · no summary yetLoïc Vial, Andon Tchechmedjiev, Didier Schwab2016

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 284 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

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