Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach

Author:

Jiang Shufan1,Angarita Rafael2,Cormier Stéphane1,Rousseaux Francis1

Affiliation:

1. University of Reims Champagne-Ardenne,Centre de Recherche en STIC,Reims,France

2. Institut Supérieur d’Electronique de Paris,Issy-les-Moulineaux,France

Publisher

IEEE

Reference17 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;jacob;Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Volume 1 Minneapolis Minnesota Association for Computational Linguistics,2019

2. Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing;liu;ACM Comput Surv,2022

3. The inception platform: Machine-assisted and knowledge-oriented interactive annotation;klie;Proceedings of the 27th International Conference on Computational Linguistics System Demonstrations Association for Computational Linguistics,2018

4. CamemBERT: a Tasty French Language Model

5. Named entity recognition for french medieval charters;aguilar;Workshop on Natural Language Processing for Digital Humanities (NLP4DH),2021

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