Update README.md

README.md

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 Our model was fine-tuned for Sentiment Analysis task on _FinancialPhraseBank_ dataset, experiments show that our model outperforms the general BERT and other financial domain-specific models.
  
 ### Training data
-FinancialBERT model was fine-tuned on Financial PhraseBank, a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive).
+FinancialBERT model was fine-tuned on [Financial PhraseBank](https://www.researchgate.net/publication/251231364_FinancialPhraseBank-v10), a dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive).
 
  ### How to use 
 Our model can be used thanks to Transformers pipeline for sentiment analysis.