Theoretic Semantics

Theoretic semantics investigates the formal meaning of language and knowledge representations, aiming to bridge the gap between symbolic logic and natural language understanding. Current research focuses on applying and extending these frameworks to large language models, exploring their ability to handle complex ontologies and reasoning tasks, and developing new semantic models that incorporate vagueness, context, and diverse knowledge representations. This work is crucial for advancing artificial intelligence, particularly in areas like automated data science and knowledge-based systems, by enabling more robust, explainable, and reliable reasoning capabilities.