Update README.md

README.md

@@ -17,12 +17,22 @@ This model was trained on a novel financial dataset which consists of 2K financi
 
 PEGASUS model was originally proposed by Jingqing Zhang, Yao Zhao,  Mohammad Saleh and Peter J. Liu in [PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://arxiv.org/pdf/1912.08777.pdf). 
 
+You can find more details about this work in the following workshop paper. If you use our model in your research, please consider citing our paper:
 
-#### Installing
-In order to use this model, you have to install Transformers as follows:
+> T. Passali, A. Gidiotis, E. Chatzikyriakidis and G. Tsoumakas.
+> Towards Human-Centered Summarization: A Case Study on Financial News.
+> In Proceedings of the Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) Workshop at EACL (to appear). 2O21.
 
-```Python
-pip install transformers
+Bibtex entry:
+
+```
+@inproceedings{humancentered2021,
+  title={Towards Human-Centered Summarization: A Case Study on Financial News},
+  author={Passali, Tatiana and Gidiotis, Alexios and Chatzikyriakidis, Efstathios and Tsoumakas, Grigorios},
+  booktitle={Proceedings of the Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) Workshop at EACL },
+  pages={N/A},
+  year={2021}
+}
 ```
 
 #### How to use