TAILIEUCHUNG - Báo cáo khoa học: "On the Acquisition of Lexical Entries: The Perceptual Origin of Thematic Relations"

This paper describes a computational model of concept acquisition for natural language. W e develop a theory of lexical semantics, the Eztended Aspect Calculus, which together with a ~maxkedness theory" for thematic relations, constrains what a possible word meaning can be. This is based on the supposition that predicates from the perceptual domain axe the primitives for more abstract relations. W e then describe an implementation of this model, TULLY, which mirrors the stages of lexical acquisition for children. . | Oii the Acquisition of Lexical Entries The Perceptual Origin of Thematic Relations James Pustejovsky Department of Computer Science Brandeis University Waltham MA 02254 617-736-2709 jamesp@ Abstract This paper describes a computational model of concept acquisition for natural language. We develop a theory of lexical semantics the Extended Aspect Calculus which together with a markedness theory for thematic relations constrains what a possible word meaning can be. This is based on the supposition that predicates from the perceptual domain are the primitives for more abstract relations. We then describe an implementation of this model TULLY which mirrors the stages of lexical acquisition for children. 1. Introduction In this paper we describe a computational model of concept acquisition for natural language making use of positive-only data modelled on a theory of lexical semantics. This theory the Extended Aspect Calculus acts together with a markedness theory for thematic roles to constrain what a possible word type is just as a grammar defines what a well-formed tree structure is in syntax. We argue that linguistic specific knowledge and learning principles are needed for concept acquisition from positive evidence alone . Furthermore this model posits a close interaction between the predicates of visual perception and the early semantic interpretation of thematic roles as used in linguistic expressions. In fact we claim that these relations act as constraints to the development of predicate hierachies in language acquisition. Finally we describe TULLY an implementation of this model in ZETALISP and discuss its design in the context of machine learning research. There has been little work on the acquisition of thematic relation and case roles due to the absence of any consensus on their formal properties. In this research we begin to address what a theory of thematic relations might look like using learnability theory as a metric for evaluating .

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