Establishing a New State-of-the-Art for French Named Entity Recognition
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 May 2020.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2.
3 papers.
- 2022De-Identification of French Unstructured Clinical Notes for Machine Learning Taskscited by 3
- 2024Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Taskscited by 3
- 2024Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detectioncited by 3
- 2024Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection16 Dec 2024
- 2024Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks25 Jun 2024
- 2022De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks16 Sep 2022