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How to Make the Most out of Very Little
Author(s) -
Yang Charles
Publication year - 2020
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12415
Subject(s) - meaning (existential) , ambiguity , resource (disambiguation) , computer science , word (group theory) , psychology , cognitive psychology , linguistics , word learning , artificial intelligence , epistemology , natural language processing , cognitive science , vocabulary , philosophy , computer network
Abstract I review the problem of referential ambiguity that arises when children learn the meanings of words, along with a number of models that have been proposed to solve it. I then provide a formal analysis of why a resource‐limited model that retains very few meaning hypotheses may be more effective than “big data” models that keep track of all word‐meaning associations.