Update README.md

README.md

@@ -20,6 +20,7 @@ license:
 The T5-base-summarization-claim-extractor is a model developed for the task of extracting atomic claims from summaries. The model is based on the T5 architecture which is then fine-tuned specifically for claim extraction.
 
 This model was introduced as part of the research presented in the paper ["FENICE: Factuality Evaluation of summarization based on Natural Language Inference and Claim Extraction" by Alessandro Scirè, Karim Ghonim, and Roberto Navigli.](https://aclanthology.org/2024.findings-acl.841.pdf) FENICE leverages Natural Language Inference (NLI) and Claim Extraction to evaluate the factuality of summaries.
+[ArXiv version](https://arxiv.org/abs/2403.02270). 
 
 ### Intended Use
 
@@ -46,7 +47,7 @@ claims = tokenizer.batch_decode(claims, skip_special_tokens=True)
 
   
 ### Training
-For details regarding the training process, please checkout our [paper](https://aclanthology.org/2024.findings-acl.841.pdf) (section 4.1).
+For details regarding the training process, please checkout our paper(https://aclanthology.org/2024.findings-acl.841.pdf) (section 4.1).
 
 ### Performance