Update README.md

README.md

@@ -6,15 +6,21 @@ license: afl-3.0
 This model is used detecting **abusive speech** in **Bengali, Devanagari Hindi, Code-mixed Hindi, Code-mixed Kannada, Code-mixed Malayalam, Marathi, Code-mixed Tamil, Urdu, Code-mixed Urdu, and English languages**. The allInOne in the name refers to the Joint training/Cross-lingual training, where the model is trained using all the languages data. It is finetuned on MuRIL model.
 The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
 
+LABEL_0 :-> Normal
+
+LABEL_1 :-> Abusive
 
 
 ### For more details about our paper
 
-Coming soon
+Mithun Das, Somnath Banerjee and Animesh Mukherjee. "[Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages](https://arxiv.org/abs/2204.12543)". Accepted at ACM HT 2022.
 
 ***Please cite our paper in any published work that uses any of these resources.***
 ~~~
-Coming soon
-
-~~~
-
+@article{das2022data,
+  title={Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages},
+  author={Das, Mithun and Banerjee, Somnath and Mukherjee, Animesh},
+  journal={arXiv preprint arXiv:2204.12543},
+  year={2022}
+}
+~~~