Docs: add citations for the published paper

README.md

@@ -81,7 +81,7 @@ with a predefined train/test split.
 <!-- Provide the basic links for the dataset. -->
 
 - **Repository:** https://github.com/UNDP-Data/dsc-sdgi-corpus (benchmarks)
-- **Paper:** TBA.
+- **Paper:** https://ceur-ws.org/Vol-3764/paper3.pdf
 - **Demo:** TBA.
 
 ## Uses
@@ -243,11 +243,29 @@ single character tokens.
 
 **BibTeX:**
 
-TBA.
+```
+@inproceedings{skrynnyk2024sdgi,
+  author    = {Mykola Skrynnyk and Gedion Disassa and Andrey Krachkov and Janine DeVera},
+  title     = {SDGi Corpus: A Comprehensive Multilingual Dataset for Text Classification by Sustainable Development Goals},
+  booktitle = {Proceedings of the 2nd Symposium on NLP for Social Good},
+  year      = {2024},
+  editor    = {Procheta Sen and Tulika Saha and Danushka Bollegala},
+  volume    = {3764},
+  series    = {CEUR Workshop Proceedings},
+  pages     = {32--42},
+  publisher = {CEUR-WS.org},
+  series    = {CEUR Workshop Proceedings},
+  address   = {Aachen},
+  venue     = {Liverpool, United Kingdom},
+  issn      = {1613-0073},
+  url       = {https://ceur-ws.org/Vol-3764/paper3.pdf},
+  eventdate = {2024-04-25},
+}
+```
 
 **APA:**
 
-TBA.
+Skrynnyk, M., Disassa, G., Krachkov, A., & DeVera, J. (2024). SDGi Corpus: A Comprehensive Multilingual Dataset for Text Classification by Sustainable Development Goals. In P. Sen, T. Saha, & D. Bollegala (Eds.), Proceedings of the 2nd Symposium on NLP for Social Good (Vol. 3764, pp. 32–42). CEUR-WS.org. https://ceur-ws.org/Vol-3764/paper3.pdf
 
 ## Glossary