A Manifold Alignment Approach to Grounded Language Learning

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RichardsNERC2019.pdf (309.59 KB)

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conference papers and proceedings preprints
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Luke E. Richards, Andre Nguyen, Kasra Darvish, Edward Raff, and Cynthia Matuszek. ´ “A Manifold Alignment Approach to Grounded Language Learning.” In the 8th Northeast Robotics Colloquium, http://iral.cs.umbc.edu/Pubs/RichardsNERC2019.pdf

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Abstract

As robots become advanced and affordable enough to have in our daily lives, the next question is: How do we make using these machines as intuitive as possible? Language offers an approachable and relatively accessible interface without requiring prior training on the part of the user. We have seen the integration of voice-assistant speakers in homes drastically increase in the recent years. Voice, and more specifically language, is proving to be a preferred method for interacting with AI-enabled assistants.