Speech and dialogue systems
This cluster of papers focuses on the modeling and optimization of dialogue acts in spoken language systems, utilizing techniques such as Markov decision processes, user simulation, multimodal interaction, reinforcement learning, natural language generation, and the hidden information state model. The research also delves into semantic processing, referring expressions, and the management of dialogues in various contexts.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.