Update README.md

README.md

@@ -12,8 +12,9 @@ widget:
 - text: "You wont believe what happened to me today :)"
 - text: "You wont believe what happened to me today :("
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-This is an emotion classification model based on fine-tuning of a Bernice model (which is a multilingual pre-trained model trained on multilingual Twitter data) on self-labeled emotion dataset (Lykousas et al., 2019) in English that corresponds to Anger, Fear, Sadness, Joy, and Affection. 
-See the paper, [LEIA: Linguistic Embeddings for the Identification of Affect](https://arxiv.org/abs/2304.10973) for further details. 
+This is an emotion classification model based on fine-tuning of a Bernice model, which is a pre-trained model trained on multilingual Twitter data.
+The fine-tuning dataset is a subset of the self-labeled emotion dataset (Lykousas et al., 2019) in English that corresponds to Anger, Fear, Sadness, Joy, and Affection. 
+See the paper, [LEIA: Linguistic Embeddings for the Identification of Affect](https://doi.org/10.1140/epjds/s13688-023-00427-0) for further details. 
 
 ## Evaluation
 We evaluated LEIA-multilingual on Vent posts with self-annotated emotion labels identified as non-English using an ensemble of language identefication tools.