Paper: Acquiring Core Meanings Of Words Represented As Jackendoff-Style Conceptual Structures From Correlated Streams Of Linguistic And Non-Linguistic Input

ACL ID P90-1019
Title Acquiring Core Meanings Of Words Represented As Jackendoff-Style Conceptual Structures From Correlated Streams Of Linguistic And Non-Linguistic Input
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1990
Authors

This paper describes an operational system which can acquire the core meanings of words without any prior knowledge of either the category or meaning of any words it encounters. The system is given as input, a description of sequences of scenes along with sentences which describe the [EVENTS] taking place as those scenes unfold, and produces as out- put, a lexicon consisting of the category and mean- ing of each word in the input, that allows the sen- tences to describe the [EVENTS]. It is argued, that each of the three main components of the system, the parser, the linker and the inference component, make only linguistically and cognitively plausible assump- tions about the innate knowledge needed to support tractable learning. The paper discusses the theory underlying the system, the rep...