Aurélie Herbelot

Distributional Semantics in the Real World: Building Word Vector Representations from a Truth-Theoretic Model

2019

Distributional semantics models (DSMs) are known to produce excellent representations of word meaning, which correlate with a range of behavioural data. As lexical representations, they have been said to be fundamentally different from truth-theoretic models …

Recurrent babbling: evaluating the acquisition of grammar from limited input data

2020

Recurrent Neural Networks (RNNs) have been shown to capture various aspects of syntax from raw linguistic input. In most previous experiments, however, learning happens over unrealistic corpora, which do not reflect the type and amount …