Patrick Ye
Papers
1
Total Citations
2
H-Index
1
About
Patrick Ye is a researcher whose work lies at the intersection of natural language processing, dialogue systems, and human-robot interaction. His most notable contribution is a probabilistic mechanism for interpreting utterance sequences in spoken dialogue systems, designed for deployment on robotic agents. This approach, detailed in his 2009 paper "Towards the interpretation of utterance sequences in a dialogue system," enables a robot to process a sequence of sentences and produce a coherent, integrated interpretation—a foundational step for more fluid and context-aware human-machine communication. While this specific work has garnered 2 citations, its significance lies in addressing the critical challenge of sequential language understanding in interactive, embodied AI. Ye’s research helps bridge the gap between isolated sentence parsing and the dynamic, multi-turn dialogues essential for practical robotics. His contributions are particularly relevant for developers working on conversational agents, smart assistants, and autonomous systems that must understand and respond to natural language in real-world, sequential contexts.
Research Focus
Key Achievements
Top Papers
- 1Towards the interpretation of utterance sequences in a dialogue system2 citations · 2009