Update paper link.

README.md

@@ -10,7 +10,7 @@ pipeline_tag: sentence-similarity
 
 Dist-MPNet-Paracrawl is a BERT-small model [distilled](https://arxiv.org/abs/2004.09813) from the [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) model, using parallel cs-en dataset [ParaCrawl](https://paracrawl.eu) for training.
 
-This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper]() or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
+This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic embedding models. These models perform well across various natural language processing tasks, including similarity search, retrieval, clustering, and classification. For further details or evaluation results, please visit the associated [paper](https://ojs.aaai.org/index.php/AAAI/article/download/30307/32315) or [GitHub repository](https://github.com/seznam/czech-semantic-embedding-models).
 
 ## How to Use