TOWARDS A ROBUST AND UNIVERSAL SEMANTIC REPRESENTATION FOR ACTION DESCRIPTION

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