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Communication Dans Un Congrès Année : 2022

ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context

Résumé

To fulfil the increasing need for food of the growing population and face climate change, modern technologies have been applied to improve different farming processes. One important application scenario is to detect and measure natural hazards using sensors and data analysis techniques. Crowdsensing is a sensing paradigm that empowers ordinary people to contribute with data their sensor-enhanced mobile devices gather or generate. In this paper, we propose to use Twitter as an open crowdsensing platform for acquiring farmers knowledge. We proved this concept by applying pre-trained language models to detect individual's observation from tweets for pest monitoring.
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Dates et versions

hal-03621123 , version 1 (27-03-2022)

Identifiants

Citer

Shufan Jiang, Rafael Angarita, Stéphane Cormier, Julien Orensanz, Francis Rousseaux. ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context. International Conference on Research Challenges in Information Science (RCIS), 2022, Barcelona, Spain. pp.653-661, ⟨10.1007/978-3-031-05760-1_40⟩. ⟨hal-03621123⟩

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