Semantic Information
Semantic information, the meaning and relationships within data, is a central focus in numerous research areas, aiming to improve how computers understand and process information beyond simple surface features. Current research emphasizes integrating semantic information into various models, including transformer networks, graph neural networks, and probabilistic graphical models, to enhance tasks like natural language processing, image recognition, and knowledge graph reasoning. This work is significant because improved semantic understanding is crucial for advancing AI capabilities in diverse applications, from more accurate machine translation and question answering to more robust and reliable autonomous systems.
Papers
January 18, 2022
December 27, 2021
December 18, 2021
December 8, 2021
November 18, 2021