Update README.md

README.md

@@ -8,7 +8,7 @@ pipeline_tag: text-classification
 # Graded Word Sense Disambiguation (WSD) Model
 
 ## Model Summary
-This model is a **fine-tuned version of RoBERTa-Large** for **Graded Word Sense Disambiguation (WSD)**. It is designed to predict the **degree of applicability** of a word sense in context by leveraging **large-scale sense-annotated corpora**. The model is based on the work outlined in:
+This model is a **fine-tuned version of RoBERTa-Large** for **Graded Word Sense Disambiguation (WSD)**. It is designed to predict the **degree of applicability** (1-4) of a word sense in context by leveraging **large-scale sense-annotated corpora**. The model is based on the work outlined in:
 
 **Reference Paper:**
 Pierluigi Cassotti, Nina Tahmasebi (2025). Sense-specific Historical Word Usage Generation.
@@ -82,7 +82,7 @@ print(f"Graded Sense Score: {score}")
 - Definition: The dictionary definition of the intended sense.
 
 ### Output
-- **A continuous score** (between 0 and 1) indicating the **likelihood** that the given definition applies to the word in its current context.
+- **A continuous score** (between 1 and 4) indicating the **similarity** of the given definition with respect to the word in its current context.
 
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