Update README.md

README.md

@@ -6,10 +6,12 @@ tags:
 - feature-extraction
 - sentence-similarity
 - transformers
-
+- semanticcuetsync
+language:
+- te
 ---
 
-# {MODEL_NAME}
+# {ashrafulparan/Semantic-Textual-Relatedness-Telugu}
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -124,4 +126,28 @@ SentenceTransformer(
 
 ## Citing & Authors
 
-<!--- Describe where people can find more information -->
+<!--- Describe where people can find more information -->
+**Bibtex**: 
+
+
+@inproceedings{Hossain2024SemanticCUETSync,
+  author    = {Hossain, Md. Sajjad and Paran, Ashraful Islam and Shohan, Symom Hossain and Hossain, Jawad and Hoque, Mohammed Moshiul},
+  title     = {SemanticCUETSync at SemEval-2024 Task 1: Finetuning Sentence Transformer to Find Semantic Textual Relatedness},
+  booktitle = {Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)},
+  year      = {2024},
+  pages     = {1212--1218},
+  address   = {Mexico City, Mexico},
+  publisher = {Association for Computational Linguistics},
+}
+
+**Authors**: 
+
+
+Md. Sajjad Hossain, Ashraful Islam Paran,
+Symom Hossain Shohan, Jawad Hossain, and
+Mohammed Moshiul Hoque. 2024. SemanticCUETSync at semeval-2024 task 1: Finetuning sentence
+transformer to find semantic textual relatedness. In
+Proceedings of the 18th International Workshop
+on Semantic Evaluation (SemEval-2024), pages
+1212–1218, Mexico City, Mexico. Association for
+Computational Linguistics.