Exact Match (Full Sentence SRL) is a key evaluation metric for the Semantic Role Labeling (SRL) task in the field of Natural Language Processing. The exact match rate counts a sentence as correct only if both the predicate and all its arguments are correctly identified, making it the most strict sentence-level metric for SRL. It is typically reported as a percentage or a score between 0 and 1. This metric is widely used in relevant benchmarks and papers, effectively reflecting model performance in this dimension. Higher values indicate better performance. It helps researchers and engineers quantify differences in actual model performance in Semantic Role Labeling scenarios, facilitating horizontal comparisons between different methods or model versions.