Natural Logic

Natural logic aims to formalize human reasoning processes within natural language, focusing on how humans derive conclusions from premises using semantic relationships. Current research emphasizes integrating natural logic principles with large language models (LLMs) to improve the explainability and robustness of fact verification and natural language inference (NLI) systems, often employing techniques like question answering and reinforcement learning to enhance performance. This work is significant because it seeks to bridge the gap between symbolic reasoning and neural network approaches, leading to more reliable and interpretable AI systems with applications in areas like automated reasoning and information verification.