Update README.md

README.md

@@ -51,7 +51,7 @@ The biggest advantage is the transferability of the vlT5 model, as it works well
 - **Language:** pl, en (but works relatively well with others)
 - **Training data:** POSMAC
 - **Online Demo:** Visit our online demo for better results [https://nlp-demo-1.voicelab.ai/](https://nlp-demo-1.voicelab.ai/)
-- **Paper:** [Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer, ACIIDS 2022](TBA)
+- **Paper:** [Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer, ACIIDS 2022](https://arxiv.org/abs/2209.14008)
 
 # Corpus
 
@@ -146,7 +146,7 @@ CC BY 4.0
 
 If you use this model, please cite the following paper:
 
-Piotr Pęzik, Agnieszka Mikołajczyk-Bareła, Adam Wawrzyński, Bartłomiej Nitoń, Maciej Ogrodniczuk, Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer, ACIIDS 2022
+[Piotr Pęzik, Agnieszka Mikołajczyk-Bareła, Adam Wawrzyński, Bartłomiej Nitoń, Maciej Ogrodniczuk, Keyword Extraction from Short Texts with a Text-To-Text Transfer Transformer, ACIIDS 2022](https://arxiv.org/abs/2209.14008)
 
 
 # Authors