Semantic Entity Labeling

Semantic entity labeling is a subtask in natural language processing that focuses on identifying and labeling entities with specific semantics in documents. The task aims to classify entities into four predefined categories: questions, answers, titles, and others, to achieve a structured understanding of form content. By accurately labeling entities, the efficiency of information extraction and data processing can be improved, which is of great application value for automated document analysis and intelligent form processing.