Update README.md

README.md

@@ -22,7 +22,9 @@ TAFSIL leverages the high interlink between the knowledge base WikiData and link
 
 Utilizing the TAFSIL framework, various datasets have been created under four taxonomies: **FIGER**, **OntoNotes**, **HAnDS**, and **MultiCoNER2**.
 
-[Read the poster](https://huggingface.co/datasets/prachuryyaIITG/TAFSIL/resolve/main/TAFSIL_SIGIR_poster.pdf)
+[**Read the paper**](https://dl.acm.org/doi/10.1145/3726302.3730341)
+
+[**Read the poster**](https://huggingface.co/datasets/prachuryyaIITG/TAFSIL/resolve/main/TAFSIL_SIGIR_poster.pdf)
 
 ## TAFSIL Framework Overview
 
@@ -85,18 +87,22 @@ Utilizing the TAFSIL framework, various datasets have been created under four ta
 
 ## Citation
 
-## Citation
-
 If you use this dataset, please cite the following paper:
 
 ```bibtex
-@inproceedings{tafsil2025sigir,
-  title     = {{TAFSIL}: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages},
-  author    = {Kaushik, Prachuryya and Mishra, Shivansh and Anand, Ashish},
-  booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval},
-  year      = {2025},
-  publisher = {ACM},
-  address   = {Padua, Italy},
-  doi       = {10.1145/3726302.3730341},
-  isbn      = {979-8-4007-1592-1/2025/07}
-}
+@inproceedings{10.1145/3726302.3730341,
+ author = {Kaushik, Prachuryya and Mishra, Shivansh and Anand, Ashish},
+ title = {TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages},
+ year = {2025},
+ isbn = {9798400715921},
+ publisher = {Association for Computing Machinery},
+ address = {New York, NY, USA},
+ url = {https://doi.org/10.1145/3726302.3730341},
+ doi = {10.1145/3726302.3730341},
+ booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval},
+ pages = {3753–3763},
+ numpages = {11},
+ keywords = {distant supervision, fine-grained entity typing, indian languages, low resource languages, named entity recognition},
+ location = {Padua, Italy},
+ series = {SIGIR '25}
+}