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		<rdfs:label><![CDATA[Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition]]></rdfs:label>
		<pub:title><![CDATA[Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2018-06-29T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[Grounded language acquisition, in which the
meanings of utterances are learned from and with
respect to the physical world, is often treated as a
data-driven machine learning problem. For a robot,
obtaining negative examples of language referents
is a challenging problem: people tend to describe
things that are true of a situation, rather than negatives
about it.]]></pub:abstract>
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