A Systematic Assessment of Syntactic Generalization in Neural Language Models

ACL 2020 Jennifer HuJon GauthierPeng QianEthan WilcoxRoger P. Levy

While state-of-the-art neural network models continue to achieve lower perplexity scores on language modeling benchmarks, it remains unknown whether optimizing for broad-coverage predictive performance leads to human-like syntactic knowledge. Furthermore, existing work has not provided a clear picture about the model properties required to produce proper syntactic generalizations... (read more)

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