Semantic Frame

Semantic frames represent the underlying conceptual structures of language, aiming to capture the meaning of words and sentences by relating them to broader situational contexts. Current research focuses on leveraging semantic frames to improve the factual accuracy and interpretability of large language models (LLMs), often employing techniques like deep metric learning and hybrid prompt-tuning to enhance frame identification and knowledge integration. This work is significant for advancing natural language understanding, enabling more robust and transparent AI systems, and facilitating applications in areas such as semantic parsing, robotic manipulation, and the analysis of online discourse.