Update README.md

README.md

@@ -16,7 +16,7 @@ widget:
 - text: 这家餐厅的牛排很好吃，但是服务很慢。
 ---
 
-# DeBERTa-v3-base End-to-End ABSA (Token Classification)
+# Multilingual End-to-End Aspect-based Sentiment Analysis
 
 This model performs end-to-end Aspect-Based Sentiment Analysis (ABSA) by jointly extracting aspect terms and their sentiments via a single token-classification head. Labels are merged as IOB-with-sentiment, e.g. `B-ASP-Positive`, `I-ASP-Negative`, or `O` for non-aspect tokens.
 
@@ -79,6 +79,10 @@ aspects = postprocess_entities(preds)
 print(aspects)
 ```
 
+## Enhanced Sentiment classification
+The aspect sentiment analysis performance can be improved by the joint aspect term extraction and aspect sentiment classification. 
+Find the example [here](https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1/blob/main/end2end_absa.py)
+
 ## FastAPI serving (optional)
 
 You can deploy a simple REST service using FastAPI: