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@@ -17,12 +17,22 @@ This model was trained on a novel financial dataset which consists of 2K financi
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  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).
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- #### Installing
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- In order to use this model, you have to install Transformers as follows:
 
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- ```Python
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- pip install transformers
 
 
 
 
 
 
 
 
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  ```
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  #### How to use
 
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  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).
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+ 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:
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+ > T. Passali, A. Gidiotis, E. Chatzikyriakidis and G. Tsoumakas.
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+ > Towards Human-Centered Summarization: A Case Study on Financial News.
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+ > In Proceedings of the Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) Workshop at EACL (to appear). 2O21.
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+ Bibtex entry:
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+
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+ ```
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+ @inproceedings{humancentered2021,
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+ title={Towards Human-Centered Summarization: A Case Study on Financial News},
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+ author={Passali, Tatiana and Gidiotis, Alexios and Chatzikyriakidis, Efstathios and Tsoumakas, Grigorios},
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+ booktitle={Proceedings of the Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP) Workshop at EACL },
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+ pages={N/A},
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+ year={2021}
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+ }
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  ```
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  #### How to use