May 27, 2020 · Our findings demonstrate the benefits of syntactic biases, even in representation learners that exploit large amounts of data, and contribute to ...
On the structured prediction tasks, our structure-distilled BERTBASE reduces relative error by 2% to 21%. These gains are more pro- nounced in the low-resource ...
Dec 1, 2020 · We introduce a knowledge distillation strategy for injecting syntactic biases into BERT pretraining, by distilling the syntactically informative predictions.
A knowledge distillation strategy for injecting syntactic biases into BERT pretraining, by distilling the syntactically informative predictions of a ...
... A related approach to our work is adding the syntactic bias into sequential language models, such as LSTMs, with knowledge distillation from RN-NGs (Kuncoro ...
Syntactic Structure Distillation Pretraining for Bidirectional Encoders ... distillation strategy for injecting syntactic biases into BERT pretraining, by ...
Our findings demonstrate the benefits of syntactic biases, even in representation learners that exploit large amounts of data, and contribute to a better ...
May 27, 2020 · To answer this question, we introduce a knowl- edge distillation strategy for injecting syntac- tic biases into BERT pretraining, by distilling.
May 28, 2020 · Syntactic Structure Distillation Pretraining For Bidirectional Encoders pdf: https://t.co/Gg84su1ppu abs: https://t.co/llEPOQPxnp.
2021. Syntactic structure distillation pretraining for bidirectional encoders. A Kuncoro, L Kong, D Fried, D Yogatama, L Rimell, C Dyer, P Blunsom.