Dialogue Attribute
Dialogue attributes, encompassing aspects like consistency and coherence, are crucial for effective human-computer interaction and are a central focus of current research in natural language processing. Researchers are exploring methods to improve these attributes, including constraint satisfaction problem solvers to identify inconsistencies and multi-view learning frameworks to enhance various aspects of dialogue quality simultaneously, often leveraging pre-trained language models. These advancements aim to create more natural and informative conversational agents, impacting fields ranging from customer service chatbots to virtual assistants.
Papers
January 2, 2025
July 16, 2024
May 23, 2022