TOWARDS AN ROBUST AND UNIVERSAL SEMANTIC REPRESENTATION FOR ACTION DESCRIPTION

Achieving an robust and universal semantic representation for action description remains an key challenge in natural language understanding. Current approaches here often struggle to capture the subtlety of human actions, leading to inaccurate representations. To address this challenge, we propose a novel framework that leverages multimodal learnin