updated readme

README.md

@@ -6,4 +6,16 @@ datasets:
 - movies subtitles
 ---
 
-# bert-based-uncased-hatespeech-movies: a hatespeech model finetuned with twitter and Movie subtitles, on pretrained bert-based-uncased. It van be used to classify Hatespeech in movie dialogues
+# bert-based-uncased-hatespeech-movies: 
+A hatespeech model used to classify text as **normal**, **offensive**, **hatespeech** in Movie subtitles. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset.
+
+Please check our paper and if used please cite
+```
+@article{von2021hateful,
+  title={How Hateful are Movies? A Study and Prediction on Movie Subtitles},
+  author={von Boguszewski, Niklas and Moin, Sana and Bhowmick, Anirban and Yimam, Seid Muhie and Biemann, Chris},
+  journal={arXiv preprint arXiv:2108.10724},
+  year={2021}
+}
+```
+The dataset and models are available on https://github.com/uhh-lt/hatespeech