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awesome-bert's Issues

Texar's implementation of BERT

Just came across the awesome list. Texar, a general-purpose text generation toolkit, has also implemented BERT here for classification, and text generation applications by combining with Texar's other modules.

A new paper to add to the Papers section

This paper is out.

6. [arXiv:1902.02671](https://arxiv.org/pdf/1902.02671.pdf), BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning, Authors: Asa Cooper Stickland, Iain Murray

Add UER-py

UER-py is a framework for pre-training models (implemented by PyTorch). UER-py facilitates the implementation of existing pre-training models (e.g. BERT), and supports further improvements. UER-py also open-sources a series of Chinese pre-training models based on different corpora, encoders, and targets. With these open-source pre-training models, we can obtain significant improvements compared with Google BERT, achieving new SOTA results on a range of Chinese datasets.
The address is https://github.com/dbiir/UER-py
I hope you could add this to the list, thank you very much~

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