Assessing BERT's Syntactic Abilities
Yoav Goldberg

TL;DR
This paper evaluates BERT's ability to understand English syntax through various stimuli, showing that BERT performs remarkably well across different syntactic phenomena and stimuli types.
Contribution
The study provides a comprehensive assessment of BERT's syntactic capabilities using natural, modified, and manually crafted stimuli, highlighting its strong performance.
Findings
BERT performs well on natural subject-verb agreement stimuli
BERT maintains high accuracy on artificially modified stimuli
BERT effectively captures reflexive anaphora phenomena
Abstract
I assess the extent to which the recently introduced BERT model captures English syntactic phenomena, using (1) naturally-occurring subject-verb agreement stimuli; (2) "coloreless green ideas" subject-verb agreement stimuli, in which content words in natural sentences are randomly replaced with words sharing the same part-of-speech and inflection; and (3) manually crafted stimuli for subject-verb agreement and reflexive anaphora phenomena. The BERT model performs remarkably well on all cases.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Neurobiology of Language and Bilingualism
MethodsLinear Layer · Residual Connection · Attention Dropout · Linear Warmup With Linear Decay · Weight Decay · Refunds@Expedia|||How do I get a full refund from Expedia? · Dense Connections · Adam · WordPiece · Softmax
