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

Pedro Javier Ortiz Suárez, Yoann Dupont, Benjamin Muller, Laurent Romary, Benoît Sagot


Abstract
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.
Anthology ID:
2020.lrec-1.569
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4631–4638
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.569
DOI:
Bibkey:
Cite (ACL):
Pedro Javier Ortiz Suárez, Yoann Dupont, Benjamin Muller, Laurent Romary, and Benoît Sagot. 2020. Establishing a New State-of-the-Art for French Named Entity Recognition. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4631–4638, Marseille, France. European Language Resources Association.
Cite (Informal):
Establishing a New State-of-the-Art for French Named Entity Recognition (Ortiz Suárez et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.569.pdf