We assess few-shot learning capabilities by developing controlled experiments that probe models' syntactic nominal number and verbal argument structure ...

Oct 12, 2020 · We assess the ability of modern neural language models to reproduce this behavior in English and evaluate the effect of structural supervision on learning ...

In this work, we assess neural models' ability to make robust syntactic generalizations about a to- ken's nominal number or verbal argument structure based on ...

It is found that in most cases, the neural models are able to induce the proper syntactic generalizations after minimal exposure, often from just two ...

For example, structurally supervised models outperformed the LSTM model in fewshot learning and syntactic generalization in neural language models (Wilcox et al ...

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke ...

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. Ethan Gotlieb Wilcox, Peng Qian, Richard Futrell ...

Structural supervision improves few-shot learning and syntactic generalization in neural language models. E Wilcox, P Qian, R Futrell, R Kohita, R Levy, M ...

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. record by Richard Futrell • Structural Supervision ...

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models ... Humans can learn structural properties about a word ...