Since 2020, aggregated from related topics
Semantic role labeling is a natural language processing task that involves identifying the relationships between words in a sentence and assigning specific roles to those words based on their syntactic and semantic functions. This involves identifying the semantic roles played by various elements in a sentence, such as the subject, object, agent, and recipient, in order to better understand the meaning and structure of the text. Semantic role labeling is often used in tasks such as information extraction, sentiment analysis, and machine translation, among others.