Shufan Jiang

Orcid: 0000-0002-8486-3158

According to our database1, Shufan Jiang authored at least 12 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An Information Extraction and Thorough Understanding Method for Test-question Graph of Junior High School Physical Mechanical Motion.
Int. J. Artif. Intell. Tools, February, 2023

Improving text mining in plant health domain with GAN and/or pre-trained language model.
Frontiers Artif. Intell., February, 2023

Extracting Definienda in Mathematical Scholarly Articles with Transformers.
CoRR, 2023

ChouBERT : Pré-entraînement d'un modèle de langue française pour le Crowdsensing avec des Tweets dans un contexte phytosanitaire.
Proceedings of the Actes du XLI Congrès INFORSID, La Rochelle, France, May 30, 2023

2022
Integration of textual data for the detection of natural risks in agriculture. (Intégration de données textuelles pour la détection des risques naturels en agriculture).
PhD thesis, 2022

Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach.
Proceedings of the 6th International Conference on Universal Village, 2022

ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context.
Proceedings of the Research Challenges in Information Science, 2022

Informativeness in Twitter Textual Contents for Farmer-centric Plant Health Monitoring.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Informativité dans les Contenus Textuels Twitter pour la Phytosurveillance Centrée sur l'observation des Agriculteurs.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Fine-tuning BERT-based models for Plant Health Bulletin Classification.
CoRR, 2021

Vers la Reconstruction des Connaissances Agricoles: Perspectives de Détection des Risques Naturels à partir de Sources de Données Hétérogènes.
Proceedings of the Extraction et Gestion des Connaissances, 2021

2020
Towards the Integration of Agricultural Data from Heterogeneous Sources: Perspectives for the French Agricultural Context Using Semantic Technologies.
Proceedings of the Advanced Information Systems Engineering Workshops, 2020


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