Update README.md

README.md

@@ -42,8 +42,8 @@ The model is fine-tuned as a token classification problem where the text is labe
 
 | Label | Description                     |
 | ----- | ------------------------------- |
-| B     | At the beginning of a keyphrase |
-| I     | Inside a keyphrase              |
+| B-KEY | At the beginning of a keyphrase |
+| I-KEY | Inside a keyphrase              |
 | O     | Outside a keyphrase             |
 
 Kulkarni, Mayank, Debanjan Mahata, Ravneet Arora, and Rajarshi Bhowmik. "Learning Rich Representation of Keyphrases from Text." arXiv preprint arXiv:2112.08547 (2021).