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. here Current approaches often struggle to capture the complexity of human actions, leading to inaccurate representations. To address this challenge, we propose new framework that leverages multimodal learning