Semantic Role Labeling Predicted Predicates

Semantic Role Labeling (SRL) is an important task in natural language processing, aimed at identifying and labeling the predicate and its corresponding argument roles in sentences. Unlike traditional SRL, the Predicted Predicates SRL task enhances annotation accuracy and efficiency by predicting potential predicates. The goal of this task is to automatically identify predicates in a sentence and assign them the correct semantic role labels, thereby helping machines better understand the deep structure and meaning of the sentence. SRL has significant application value in multiple areas such as information extraction, question answering systems, and semantic parsing, and can significantly improve the performance and intelligence level of natural language processing systems.