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Naive Semantics for Natural Language Understanding (Paperback, Softcover reprint of the original 1st ed. 1988)
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Naive Semantics for Natural Language Understanding (Paperback, Softcover reprint of the original 1st ed. 1988)
Series: The Springer International Series in Engineering and Computer Science, 58
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This book introduces a theory, Naive Semantics (NS), a theory of
the knowledge underlying natural language understanding. The basic
assumption of NS is that knowing what a word means is not very
different from knowing anything else, so that there is no
difference in form of cognitive representation between lexical
semantics and ency clopedic knowledge. NS represents word meanings
as commonsense knowledge, and builds no special representation
language (other than elements of first-order logic). The idea of
teaching computers common sense knowledge originated with McCarthy
and Hayes (1969), and has been extended by a number of researchers
(Hobbs and Moore, 1985, Lenat et aI, 1986). Commonsense knowledge
is a set of naive beliefs, at times vague and inaccurate, about the
way the world is structured. Traditionally, word meanings have been
viewed as criterial, as giving truth conditions for membership in
the classes words name. The theory of NS, in identifying word
meanings with commonsense knowledge, sees word meanings as typical
descriptions of classes of objects, rather than as criterial
descriptions. Therefore, reasoning with NS represen tations is
probabilistic rather than monotonic. This book is divided into two
parts. Part I elaborates the theory of Naive Semantics. Chapter 1
illustrates and justifies the theory. Chapter 2 details the
representation of nouns in the theory, and Chapter 4 the verbs,
originally published as "Commonsense Reasoning with Verbs"
(McDowell and Dahlgren, 1987). Chapter 3 describes kind types,
which are naive constraints on noun representations."
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