Semantic parsing is a subfield of natural language processing that involves the process of mapping natural language input into a structured representation that captures the meaning of the input. This structured representation can then be used for various natural language understanding tasks such as question answering, information retrieval, and dialogue systems. Semantic parsing typically involves parsing the input sentence into a logical form or some other formal representation, which can then be used by a machine learning model to perform the desired task. This area of research is crucial for enabling machines to understand and generate natural language text.