📄 Update README.md with NEN task pipeline

README.md

@@ -17,25 +17,9 @@ The dataset was created by DBIS at RWTH Aachen University (Yongli Mou, Hanbin Ch
   2. **Semantic Matching** 🧠: Employing LLMs (like GPT-4) to select the best match from top candidates
   3. **Expert Validation** ✅: Final review and verification by medical students from University Hospital RWTH Aachen
 
+Pipeline of NEN task in MedKGC：
+![Pipeline of NEN task in MedKGC](image.png)
 
-```mermaid
-flowchart LR
-    subgraph RAG
-
-        subgraph Retrieval
-            direction TB
-            A@{ shape: lean-r, label: "Entity" } --> API(UMLS API)
-            API --> RES@{ shape: diamond, label: "select Top N" }
-        end
-
-        Retrieval -->|Top N| LLMS(LLMS Selector)
-    end
-
-    LLMS -->|json| DF(Formatter)
-    DF -->|CSV| E(Evaluation)
-    DB2[(RadLink)] --> |CSV| E
-    E -->|output| G@{ shape: lean-r, label: "Results" }
-```
 
 ## 🧩 Data Structure
 The dataset contains the following fields:
@@ -55,7 +39,7 @@ If you use the RadLink dataset, please cite this project as well as the original
 @misc{RadLink,
   title={RadLink: A Medical Entity Normalization Dataset},
   year={2025},
-  howpublished={\url{https://github.com/yourusername/RadLink}}
+  howpublished={[\url{https://github.com/yourusername/RadLink}](https://huggingface.co/datasets/WestAI-SC/RadLink)}
 }
 
 ```