TOWARDS A ROBUST AND UNIVERSAL SEMANTIC REPRESENTATION FOR ACTION DESCRIPTION

Achieving the robust and universal semantic representation for action description remains the key challenge in natural language understanding. Current approaches often struggle to capture the nuance of human actions, leading to inaccurate representations. To address this challenge, we propose innovative framework that leverages hybrid learning tech