Argument Types Affect Children’s Acquisition of a Novel Argument Structure

A Computational Model of Early Argument Structure Acquisition

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning mechanisms that can grasp generalizations from ex...

A Probabilistic Model of Early Argument Structure Acquisition

We present a computational model of usage-based learning of verb argument structure in young children. The model integrates Bayesian classification and prediction to learn from utterances paired with appropriate semantic representations. The model balances item-based and class-based knowledge in language use, demonstrating appropriate word order generalizations, and recovery from overgeneraliza...

A Survey on Computational Models for Argument Structure Acquisition

A Computational Model for Early Argument Structure Acquisition

How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning mechanisms that can grasp generalizations from ex...

Argument Molecules: A Functional Representation of Argument Structure

Understanding an utterance in an argument crucially requires determining the evidential relations it bears to prior and subsequent propositions in the argument (Birnbaum et al., 1980; Cohen, 1981). The memory representation of an argument should, accordingly, indicate which propositions a given proposition counts as evidence for (a support relation) or against (an attack relation), and which pr...