Rebecca J. Passonneau

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About

Rebecca J. Passonneau is a leading researcher in computational linguistics, natural language processing, and human-robot interaction, with a particular focus on discourse structure, dialogue systems, and interactive learning. Her work bridges the gap between linguistic theory and practical AI systems, notably through foundational contributions to discourse annotation and the development of the Penn Discourse TreeBank, which has become a standard resource for discourse analysis. Passonneau has also pioneered research in robot learning from demonstration and communication, as exemplified by her 2019 paper "Show me how to win," which presents an approach for teaching robots simple board games like Connect Four by converting visual representations of winning conditions into extensive form representations for strategic computation. Her work on interactive systems has advanced how machines can learn from human instruction and feedback. With over 4,000 citations across her career, Passonneau's research has had lasting impact on discourse processing, dialogue systems, and human-robot collaboration. She has also contributed to the development of evaluation methodologies for natural language generation and summarization systems, further cementing her influence in the field.