SELECTION AND INFORMATION: A CLASS-BASED APPROACH TO LEXICAL RELATIONSHIPS

SELECTION AND INFORMATION: A CLASS-BASED APPROACH TO LEXICAL RELATIONSHIPS (1993)

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by Philip Stuart Resnik

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TITLE	IRCS Report 93-42SELECTION AND INFORMATION: ACLASS-BASED APPROACH TO LEXICAL RELATIONSHIPS	SVM HeaderParse 0.2
AUTHOR NAME	Philip Stuart Resnik	SVM HeaderParse 0.2
AUTHOR AFFIL	; E; University of Pennsylvania; Research in Cognitive Science; University of Pennsylvania	SVM HeaderParse 0.2
AUTHOR ADDR	; 3401 Walnut Street, Suite 400C; Philadelphia, PA 19104-6228; Founded by Benjamin Franklin in 1740	SVM HeaderParse 0.2
AUTHOR NAME	Philip Stuart Resnik	SVM HeaderParse 0.2
AUTHOR NAME	Philip Stuart Resnik	SVM HeaderParse 0.2
AUTHOR NAME	Supervisor Aravind Joshi	SVM HeaderParse 0.2
ABSTRACT	Selectional constraints are limitations on the applicability of predicates to arguments. For example, the statement “The number two is blue ” may be syntactically well formed, but at some level it is anomalous — BLUE is not a predicate that can be applied to numbers. According to the influential theory of (Katz and Fodor, 1964), a predicate associates a set of defining features with each argument, expressed within a restricted semantic vocabulary. Despite the persistence of this theory, however, there is widespread agreement about its empirical shortcomings (McCawley, 1968; Fodor, 1977). As an alternative, some critics of the Katz-Fodor theory (e.g. (Johnson-Laird, 1983)) have abandoned the treatment of selectional constraints as semantic, instead treating them as indistinguishable from inferences made on the basis of factual knowledge. This provides a better match for the empirical phenomena, but it opens up a different problem: if selectional constraints are the same as inferences in general, then accounting for them will require a much more complete understanding of knowledge representation and inference than we have at present. The problem, then, is this: how can a theory of selectional constraints be elaborated without first having either an empirically adequate theory of defining features or a comprehensive theory of inference? In this dissertation, I suggest that an answer to this question lies in the representation of conceptual	SVM HeaderParse 0.2
YEAR	1993	SVM HeaderParse 0.2
CITATIONS	170 found	ParsCit 1.0