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Grammar In Language Models: Bert Study

Author

Listed:
  • Ksenia E. Chistyakova

    (National Research University Higher School of Economics)

  • Tatiana B. Kazakova

    (National Research University Higher School of Economics)

Abstract

The problem of language models’ interpretation is extensively inspected, but no universal answers have been found. Our study offers to combine widely accepted probing methods with a novel approach to a neural network under investigation. We propose to break grammatical forms on the pre-training step in order to get two "sibling" models, as it casts some light on how different linguistic features are encoded and distributed across the neural language architecture.

Suggested Citation

  • Ksenia E. Chistyakova & Tatiana B. Kazakova, 2023. "Grammar In Language Models: Bert Study," HSE Working papers WP BRP 115/LNG/2023, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:115/lng/2023
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    More about this item

    Keywords

    probing; language models; transformers; BERT.;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

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