Update README.md

README.md

@@ -12,7 +12,7 @@ language:
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 256 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
-IndoSBERT is a modification of `https://huggingface.co/indobenchmark/indobert-large-p1` that has been fine-tuned using the siamese network scheme inspired by SBERT. 
+IndoSBERT is a modification of `https://huggingface.co/indobenchmark/indobert-large-p1` that has been fine-tuned using the siamese network scheme inspired by SBERT (Reimers et al., 2019). 
 This model was fine-tuned with the STS Dataset (2012-2016) which was machine-translated into Indonesian languange.
 
 This model can provide meaningful semantic sentence embeddings for Indonesian sentences. 
@@ -83,5 +83,20 @@ SentenceTransformer(
 ```
 
 ## Citing & Authors
+```
+@inproceedings{reimers-2019-sentence-bert,
+    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
+    author = "Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
+    month = "11",
+    year = "2019",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/1908.10084",
+}
 
-<!--- Describe where people can find more information -->
+@article{author = {Diana, Denaya}, 
+    title = {IndoSBERT: Indonesian SBERT for Semantic Textual Similarity tasks}, 
+    year = {2023}, 
+    url = {https://huggingface.co/denaya/indoSBERT-large}
+}
+```