#827 · Primary category： Education & Research
bert_language_understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Project last updated：01/01/19
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Why we included this project
Anyone who has tried to work through the official BERT or Transformer implementations knows how hard they are to digest. This project offers a compact TensorFlow version that keeps the core ideas and trades the transformer encoder for a TextCNN, then shows that masked-language-model pretraining plus fine-tuning still drives real gains on modest data. It is a good reference for people who want to see why pretraining helps and how the pieces fit together, and it bundles toy tasks, multi-label classification, and a set of questions that walk through both papers. Just note the code is from 2018-2019 and uses the old TensorFlow style, so treat it as a learning aid rather than something to drop into production.
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