Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition

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http://www2.ece.rochester.edu/projects/rail/mrhrc2018/papers/pillai11.pdf

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http://hdl.handle.net/11603/11232

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2018-07

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conference papers and proceedings preprints
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Citation of Original Publication

Nisha Pillai, Francis Ferraro, Cynthia Matuszek, Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition, Workshop on Models and Representations for Natural Human-Robot Communication, 2018

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This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.

Subjects

Grounded language acquisition
Cosine similarity

Abstract