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文獻記錄-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
時間 2020-12-30
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摘要: bert 是用transformer的encoder 來構建的雙向預訓練模型,訓練過程是無監督的,並且可以通過fine-tune的方式去獲得較好的多個下游任務的效果. 簡介: 預訓練模型對於NLP的數據特徵的提取有着很大作用,爲了找到,句子和句子,詞語和詞語之間的聯繫. 現有的預訓練模型有兩種:基於特徵的(elmo);微調(GPT) 特點: 1:Bert使用了掩語預測的模型. 2:雙向 3
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