Ideal Words

نویسندگان

چکیده

Abstract In this theoretical paper, we consider the notion of semantic competence and its relation to general language understanding—one most sough-after goals Artificial Intelligence. We come back three main accounts involving (a) lexical knowledge; (b) truth-theoretic reference; (c) causal chains in use. argue that all are needed reach a meaning artificial agents suggest they can be combined single formalisation, where develops from exposure observable performance data. introduce framework which translates set theory into vector-space semantics by applying distributional techniques corpus utterances associated with truth values. The resulting space naturally satisfies requirements competence, but it also regarded as some ‘ideal’ model world, allowing for extensions standard relations retrieved.

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ژورنال

عنوان ژورنال: Ki - Künstliche Intelligenz

سال: 2021

ISSN: ['1610-1987', '0933-1875']

DOI: https://doi.org/10.1007/s13218-021-00719-5