Sarah George
Papers
3
Total Citations
23
H-Index
2
About
Sarah George is a pioneering researcher in the field of spoken language interpretation, with a particular focus on probabilistic frameworks for human-robot interaction. Her work centers on developing robust, multi-layered systems that allow robots to understand and respond to spoken commands in real-world environments. George’s major contributions include the formulation of a probabilistic approach to utterance interpretation, which enables systems to generate multiple candidate interpretations and select the most likely one based on contextual cues. This work is foundational for creating more natural and adaptive dialogue systems for service robots, such as office assistants. Her most cited paper, "A Probabilistic Approach to the Interpretation of Spoken Utterances" (2008, 14 citations), along with her earlier work on the Scusi? system, demonstrates her commitment to advancing robust, flexible speech understanding. Though her citation counts are modest, George’s research is notable for its early integration of probabilistic reasoning into spoken dialogue systems, a concept that has since become central to the field. Her work continues to influence the development of intelligent, context-aware robotic assistants.
Research Focus
Key Achievements
Top Papers
- 1A Probabilistic Approach to the Interpretation of Spoken Utterances14 citations · 2008
- 2
- 3Considering multiple options when interpreting spoken utterances2 citations · 2007