Update README.md

README.md

@@ -1,6 +1,9 @@
 ---
 language: nl
-license: mit
+license: gpl-3.0
+pipeline_tag: token-classification
+tags:
+- medical
 ---
 
 # MedRoBERTa.nl finetuned for negation
@@ -60,4 +63,4 @@ If you use the model in your work please use the following referrals; (model) ht
 ## References
 Paper: Verkijk, S. & Vossen, P. (2022) MedRoBERTa.nl: A Language Model for Dutch Electronic Health Records. Computational Linguistics in the Netherlands Journal, 11.
 
-Paper: Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R.S. Arends, Miguel A.R. Rios, Saskia Haitjema (2022): Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods, Arxiv
+Paper: Bram van Es, Leon C. Reteig, Sander C. Tan, Marijn Schraagen, Myrthe M. Hemker, Sebastiaan R.S. Arends, Miguel A.R. Rios, Saskia Haitjema (2022): Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods, Arxiv