Update README.md

README.md

@@ -18,7 +18,7 @@ ChouBERT-n-plant-health-tweet-classifier are fine-tuned ChouBERT-n for distingui
 Our work shows that ChouBERT-16 and ChouBERT-32-based classifiers are the most generalizable for recognizing unseen hazards, especially polysemous terms. 
 We also upload the CamemBERT-based classifiers as the baseline.
 
-### BibTeX entry
+### BibTeX entries
 
 ```bibtex
 @inproceedings{jiang2022choubert,
@@ -29,4 +29,15 @@ We also upload the CamemBERT-based classifiers as the baseline.
   year={2022},
   organization={Springer}
 }
+
+@inproceedings{jiang2022ner,
+  title = {{Named Entity Recognition for Monitoring Plant Health Threats in Tweets: a ChouBERT Approach}},
+  author = {Jiang, Shufan and Angarita, Rafael and Cormier, St{\'e}phane and Rousseaux, Francis},
+  booktitle = {{2022 6th International Conference on Universal Village (UV)}},
+  address = {Boston, United States},
+  publisher = {{IEEE}},
+  year = {2022},
+  doi = {10.1109/UV56588.2022.10185492},
+}
+
 ```