What's so Hard about Understanding Language
Project rept. no. 12, 1 Jul 1986-30 Apr 1988,
CALIFORNIA UNIV LOS ANGELES
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This paper reports empirical work in artificial intelligence AI on natural language processing. The kind of AI that we are interested in is cognitive modeling. The goal is to describe some aspect of human mental activity, say problem solving or language use, in computational terms. The central issues is this kind of study turn out to be representation and reasoning corresponding roughly to data structures and control in computer programs. In this paper we examine several problems in language understanding involving semantic ambiguity, anaphoric reference, and metonymy.