Cynthia Matuszek
Cynthia Matuszek

Affiliated Faculty, Faculty

My primary research interests are in robotics and natural language processing; in my work, I combine these interests to support research in human-robot interaction, or HRI. My work focuses on the problem of grounded language acquisition: extracting semantically meaningful representations of human language by mapping those representations to the noisy, unpredictable physical world in which robots operate. More specifically, I work on combining probabilistic, grammar-based natural language processing with machine learning to transform human communication into a formal language that a robot can understand. I have looked at using this kind of language learning to learn how to follow navigation instructions or learn more about the world from human users by learning to extend a world model in tandem with learning a language parsing model.

Cynthia Matuszek

Refereed Publications

2019

  1. C. Kery, F. Ferraro, and C. Matuszek, "¿Es un plátano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish", NAACL Combined Workshop on Spatial Language Understanding and Grounded Communication for Robotics, June 2019, 89 downloads.

2018

  1. N. W. Pillai, F. Ferraro, and C. Matuszek, "Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition", Workshop on Models and Representations for Natural Human-Robot Communication (Robotics: Science and Systems), June 2018, 68 downloads.

2016

  1. P. K. Das, A. L. Kashyap, G. Singh, C. Matuszek, T. Finin, and A. Joshi, "Semantic knowledge and privacy in the physical web", InProceedings, Proceedings of the 4th Workshop on Society, Privacy and the Semantic Web - Policy and Technology (PrivOn2016) co-located with 15th International Semantic Web Conference (ISWC 2016), October 2016, 1585 downloads.