Update README.md

README.md

@@ -12,7 +12,20 @@ We further pre-trained CamemBERT base model on French plant health bulletins and
 
 ChouBERT-n are pre-trained for n epochs with MLM. 
 
-ChouBERT-n-plant-health-tweet-classifier are fine-tuned ChouBERT-n for distinguishing tweets about Plant Health observation from other tweets. We describe how we build ChouBRET in this paper:
-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⟩. <https://hal.archives-ouvertes.fr/hal-03621123>
-
 ChouBERT-n-plant-health-ner are fine-tuned ChouBERT-n for Named Entity Recongnition (NER) in plant health domain. We will upload the NER paper later.
+
+ChouBERT-n-plant-health-tweet-classifier are fine-tuned ChouBERT-n for distinguishing tweets about Plant Health observation from other tweets. We describe how we build ChouBRET in this paper: <https://hal.archives-ouvertes.fr/hal-03621123>
+
+### BibTeX entry
+
+```bibtex
+@inproceedings{jiang2022choubert,
+  title={ChouBERT: Pre-training French Language Model for Crowdsensing with Tweets in Phytosanitary Context},
+  author={Jiang, Shufan and Angarita, Rafael and Cormier, St{\'e}phane and Orensanz, Julien and Rousseaux, Francis},
+  booktitle={International Conference on Research Challenges in Information Science},
+  pages={653--661},
+  year={2022},
+  organization={Springer}
+}
+```
+