What Jacob Devlin thinks about transformers
One of the four authors of the 2018 paper "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", at Google AI Language, the affiliation printed on the paper.
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1 dated position, 2018, in their own words. Our reading of what Jacob Devlin has said — not written or endorsed by them.
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Their wordsSuch restrictions are sub-optimal for sentence-level tasks, and could be very harmful when applying fine-tuning based approaches to token-level tasks such as question answering, where it is crucial to incorporate context from both directions.
↗BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingarxiv.org All 16 from this paper