add citation information

README.md

@@ -13,6 +13,10 @@ widget:
 
 # Fine-Tuned model for FOMC hawkish-dovish-neutral classification task
 
+This page contains the model for the ACL 2023 paper, "Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis". This work was done at the Financial Services Innovation Lab of Georgia Tech. The FinTech lab is a hub for finance education, research and industry in the Southeast. 
+
+The paper is available at [SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4447632) 
+
 ## Label Interpretation
 LABEL_2: Neutral  
 LABEL_1: Hawkish  
@@ -35,6 +39,23 @@ results = classifier(["Such a directive would imply that any tightening should b
 print(results)
 ```
 
+## Datasets
+All the annotated datasets with train-test splits for 3 seeds are available at [gtfintechlab/fomc-hawkish-dovish-neutral](https://huggingface.co/datasets/gtfintechlab/fomc-hawkish-dovish-neutral)
+
+## Citation and Contact Information
+
+
+### Cite
+Please cite our paper if you use any code, data, or models.
+
+```c
+@article{shah2023trillion, 
+  title={Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis},
+  author={Shah, Agam and Paturi, Suvan and Chava, Sudheer},
+  journal={Available at SSRN 4447632},
+  year={2023}
+}
+```
 
 ### Contact Information