Semantic Segmentation
Language Models and Natural Language Processing
A process that identifies the semantic relationships between predicates and their arguments in sentences.
Detailed Explanation
Semantic Role Labeling (SRL) is a natural language processing task that assigns roles to words or phrases in a sentence, identifying who did what to whom, when, where, etc. It helps in understanding the underlying meaning by mapping predicates (verbs) to their associated arguments, thereby enabling machines to comprehend sentence structure and semantic relationships more effectively for applications like information extraction and question answering.
Use Cases
- •Enhances question answering systems by accurately identifying roles and relationships within sentences for precise responses.
Related Terms
Other terms in the Language Models and Natural Language Processing category