Update README.md

README.md

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-# TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages
+# [TAFSIL: Taxonomy Adaptable Fine-grained Entity Recognition through Distant Supervision for Indian Languages](https://huggingface.co/datasets/prachuryyaIITG/TAFSIL/resolve/main/TAFSIL_SIGIR_poster.pdf)
 
 **TAFSIL** is a taxonomy-adaptable Fine-grained Entity Recognition (FgER) framework designed to create FgER datasets in six Indian languages: Hindi (hi), Marathi (mr), Sanskrit (sa), Tamil (ta), Telugu (te), and Urdu (ur). These languages belong to two major language families—Indo-European and Dravidian—and are spoken by over a billion people worldwide.
 
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 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)
+
 ## TAFSIL Framework Overview
 
 <img src="TAFSIL_framework.png" alt="TAFSIL Framework Overview" width="500"/>