Update README.md

README.md

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 # Model Card for **Astro-HEP-BERT**
 
-**Astro-HEP-BERT** is a bidirectional transformer designed primarily to generate contextualized word embeddings for analyzing epistemic change in astrophysics and high-energy physics. Built upon Google's "bert-base-uncased," the model underwent additional training for three epochs using approximately 21.5 million paragraphs extracted from around 600,000 scholarly articles sourced from arXiv, all pertaining to astrophysics and/or high-energy physics (HEP). The sole training objective was masked language modeling.
+**Astro-HEP-BERT** is a bidirectional transformer designed primarily to generate contextualized word embeddings for analyzing epistemic change in astrophysics and high-energy physics (<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3030/101044932" >NEPI project</a> at TU Berlin). Built upon Google's "bert-base-uncased," the model underwent additional training for three epochs using approximately 21.5 million paragraphs extracted from around 600,000 scholarly articles sourced from arXiv, all pertaining to astrophysics and/or high-energy physics (HEP). The sole training objective was masked language modeling.
 
 For further insights into the model and the corpus, please refer to the Astro-HEP-BERT paper [link coming soon].