Update README.md

README.md

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+[![Paper Page](https://img.shields.io/badge/Paper_Page-j.jfds.2023.100114-green)](https://doi.org/10.1016/j.jfds.2023.100114) 
+
 This dataset contains two manually pre-labeled datasets:
 
 In the **economic agents dataset**, we labeled 6,205 randomized sentences from a [Fed database](https://github.com/Moritz-Pfeifer/CentralBankRoBERTa/tree/main/Data/FED) containing speeches (1948-2023) as speaking either about households, firms, the financial sector, the government, or the central bank itself. 
@@ -35,4 +37,20 @@ The datasets were used to train an [agent classifier](https://huggingface.co/Mor
       <a href="mailto:vincent.marohl@columbia.edu">vincent.marohl@columbia.edu</a>
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-</table>
+</table>
+
+### BibTeX entry and citation info
+
+```bibtex
+@article{Pfeifer2023,
+  title = {CentralBankRoBERTa: A fine-tuned large language model for central bank communications},
+  journal = {The Journal of Finance and Data Science},
+  volume = {9},
+  pages = {100114},
+  year = {2023},
+  issn = {2405-9188},
+  doi = {https://doi.org/10.1016/j.jfds.2023.100114},
+  url = {https://www.sciencedirect.com/science/article/pii/S2405918823000302},
+  author = {Moritz Pfeifer and Vincent P. Marohl},
+}
+```