This paper presents a work on extending the adverbial entries of LGLex: a NLP oriented syntactic resource for French. Adverbs were extracted from the Lexicon-Grammar tables of both simple adverbs ending in -ment '-ly' (Molinier and Levrier, 2000) and compound adverbs (Gross, 1986; 1990). This work relies on the exploitation of fine-grained linguistic information provided in existing resources. Various features are encoded in both LG tables and they haven't been exploited yet. They describe the relations of deleting, permuting, intensifying and paraphrasing that associate, on the one hand, the simple and compound adverbs and, on the other hand, different types of compound adverbs. The resulting syntactic resource is manually evaluated and freely available under the LGPL-LR license.
Learning structures of the French clinical language:development and validation of word embedding models using 21 million clinical reports from electronic health records
Assistance Publique – Hôpitaux de Paris（巴黎公共援助医院）；Sorbonne Université（索邦大学）；Inserm（法国国家健康与医学研究院）；Université Sorbonne Paris Nord（索邦巴黎北大学）；Centre de Recherche des Cordeliers（科德利埃研究中心）；INRIA（法国国家信息与自动化研究所）
How Important Is Tokenization in French Medical Masked Language Models?
LIA, Avignon University（阿维尼翁大学计算机科学与人工智能实验室）；Zenidoc（Zenidoc公司）；Nantes Université（南特大学）；École Centrale Nantes（南特中央理工学院）；CNRS（法国国家科学研究中心）；LS2N, UMR 6004（南特数字科学实验室）
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
University of Mannheim（曼海姆大学）；NEC Laboratories Europe GmbH（NEC欧洲实验室有限公司）；University of Hamburg（汉堡大学）；Bocconi University（博科尼大学）；University of Würzburg（维尔茨堡大学）
