Papers by Loïc Vial
Providing Semantic Knowledge to a Set of Pictograms for People with Disabilities: a Set of Links between WordNet and Arasaac: Arasaac-WN (2020.lrec-1)
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Didier Schwab, Pauline Trial, Céline Vaschalde, Loïc Vial, Emmanuelle Esperanca-Rodier, Benjamin Lecouteux
| Challenge: | Pictograms are a tool that is increasingly used by people with cognitive or communication disabilities. |
| Approach: | They propose a database that links WordNet and Arasaac to link pictograms to semantic knowledge. |
| Outcome: | The proposed database links pictograms with WordNet and Arasaac to create language-independent prototypes. |
FlauBERT: Unsupervised Language Model Pre-training for French (2020.lrec-1)
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Hang Le, Loïc Vial, Jibril Frej, Vincent Segonne, Maximin Coavoux, Benjamin Lecouteux, Alexandre Allauzen, Benoit Crabbé, Laurent Besacier, Didier Schwab
| Challenge: | Language models are a key step to achieve state-of-the-art results in many different Natural Language Processing (NLP) tasks. |
| Approach: | They propose to use a language model that is pre-trained on a large and heterogeneous French corpus to train continuous word representations. |
| Outcome: | The proposed model outperforms existing models on a large and heterogeneous French corpus. |
UFSAC: Unification of Sense Annotated Corpora and Tools (L18-1)
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| Challenge: | a dozen sense annotated English corpora are used in Word Sense Disambiguation (WSD) a new format of corpus is proposed that can be used for training or testing a disambiguation system . |
| Approach: | They propose a format of corpus that can be used for training or testing a disambiguation system . they provide the source code and a complete Java API for manipulating corpora in this format . |
| Outcome: | The proposed format of corpus can be used for training or testing a disambiguation system . the source code and a complete Java API are provided for building the corpus . |