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

arXiv: https://arxiv.org/abs/2005.13236 · HTML: https://mlsanity.com/paper/2005.13236/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2020.

## Built on by (most cited first, 3 of 3)

- [De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks](https://mlsanity.com/paper/2209.09631/) (2022)
- [Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks](https://mlsanity.com/paper/2406.17875/) (2024)
- [Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection](https://mlsanity.com/paper/2412.11745/) (2024)

## 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.