Semantic Parsing aims to capture the meaning of a sentence and convert it into a logical, structured form. Previous studies show that semantic parsing enhances the performance of smaller models (e.g., BERT) on downstream tasks.
![[ACL 2025] Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints | Yuchi Wang (王宇驰)](https://wangyuchi369.github.io/media/sharing.png)
Semantic Parsing aims to capture the meaning of a sentence and convert it into a logical, structured form. Previous studies show that semantic parsing enhances the performance of smaller models (e.g., BERT) on downstream tasks.