A Systematic Assessment of Syntactic Generalization in Neural Language Models (2020.acl-main)
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| Challenge: | Existing work on syntactic knowledge models has not provided a clear picture of the properties required to produce proper syntaktic generalizations. |
| Approach: | They propose to evaluate syntactic knowledge of language models by varying model architectures . they find substantial differences in syntaktic generalization performance by model architecture . |
| Outcome: | The proposed model architectures outperform other architectures on a set of 34 English-language syntactic test suites. |
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