Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition

dc.contributor.advisorUMBC Faculty Collection
dc.contributor.authorPillai, Nisha
dc.contributor.authorFerraro, Francis
dc.contributor.authorMatuszek, Cynthia
dc.date.accessioned2018-09-05T19:39:34Z
dc.date.available2018-09-05T19:39:34Z
dc.date.issued2018-07
dc.descriptionRobotics: Science and Systems 2018, Workshop on Models and Representations for Natural Human-Robot Communicationen_US
dc.description.urihttp://www2.ece.rochester.edu/projects/rail/mrhrc2018/papers/pillai11.pdf
dc.format.extent3 PAGESen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2251FP4N
dc.identifier.citationNisha 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, 2018en_US
dc.identifier.urihttp://hdl.handle.net/11603/11232
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis 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.
dc.subjectGrounded language acquisitionen_US
dc.subjectCosine similarityen_US
dc.titleOptimal Semantic Distance for Negative Example Selection in Grounded Language Acquisitionen_US
dc.typeTexten_US

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