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Publication . Preprint . Conference object . 2020

Establishing a New State-of-the-Art for French Named Entity Recognition

Ortiz Suárez, Pedro Javier; Dupont, Yoann; Muller, Benjamin; Romary, Laurent; Sagot, Benoît;
Open Access   English  
Published: 11 May 2020
Country: France
Abstract
Due to COVID19 pandemic, the 12th edition is cancelled. The LREC 2020 Proceedings are available at http://www.lrec-conf.org/proceedings/lrec2020/index.html; International audience; The French TreeBank developed at the University Paris 7 is the main source of morphosyntactic and syntactic annotations for French. However, it does not include explicit information related to named entities, which are among the most useful information for several natural language processing tasks and applications. Moreover, no large-scale French corpus with named entity annotations contain referential information, which complement the type and the span of each mention with an indication of the entity it refers to. We have manually annotated the French TreeBank with such information, after an automatic pre-annotation step. We sketch the underlying annotation guidelines and we provide a few figures about the resulting annotations.
Subjects

Computer Science - Computation and Language, Named Entity Recognition, French, Language Modeling, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

Funded by
ANR| PRAIRIE
Project
PRAIRIE
PaRis Artificial Intelligence Research InstitutE
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-19-P3IA-0001
,
ANR| BASNUM
Project
BASNUM
Digitization and analysis of the Dictionnaire universel by Basnage de Beauval: lexicography and scientific networks
  • Funder: French National Research Agency (ANR) (ANR)
  • Project Code: ANR-18-CE38-0003
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