Unsupervised Semantic Parsing

Unsupervised semantic analysis is a key technology in the field of natural language processing, aiming to automatically parse the deep semantic structure of text without annotated data. Its core objective is to identify and extract semantic components and relationships within sentences through algorithms, constructing semantic representation models. The application value of this technology lies in its ability to effectively enhance the performance of tasks such as information retrieval, sentiment analysis, and machine translation, promoting the intelligent development of language understanding.