Probe-Less Probing of BERT’s Layer-Wise Linguistic Knowledge with Masked Word Prediction

NAACL (ACL) 2022  ·  Tatsuya Aoyama, Nathan Schneider ·

The current study quantitatively (and qualitatively for an illustrative purpose) analyzes BERT’s layer-wise masked word prediction on an English corpus, and finds that (1) the layerwise localization of linguistic knowledge primarily shown in probing studies is replicated in a behavior-based design and (2) that syntactic and semantic information is encoded at different layers for words of different syntactic categories. Hypothesizing that the above results are correlated with the number of likely potential candidates of the masked word prediction, we also investigate how the results differ for tokens within multiword expressions.

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