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<Paper uid="W03-0609">
  <Title>Grounding Word Meanings in Sensor Data: Dealing with Referential Uncertainty</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Discussion
</SectionTitle>
    <Paragraph position="0"> This paper described a method for recovering the denotational meaning of a word, i.e. utter-Wa20a0a28a27 a17a23a22 , given a set of sensory observations, each labeled according to whether it co-occurred with an utterance containing the word, i.e. hear-Wa20a0a28a27 a17a23a22 . It was shown that hear-Wa20a0a28a27a17a23a22 is a linear function of utter-Wa20a0a28a27a17a23a22 where the parameters of the transform are determined by the level of shared attention and the background frequency of a30 . Given two weak assumptions about the form of utter-Wa20a0a28a27 a17a23a22 , these parameters can be recovered and the transform inverted. The use of mutual information and randomization testing to identify the particular sensor group that captures a word's meaning was described. It is therefore possible to identify the denotational meaning of a word by simply observing the contexts in which it is and is not used, even in the face of imperfect shared attention and homonymy.</Paragraph>
  </Section>
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