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Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

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我试用了GCDT代码,训练了5个模型,有3个模型会出现预测标签缺失的情况(bad data生成,样例如下)。 打印了预测值的输出,发现模型的预测值提前生成了标签,导致预测值的输出被截断。 这是什么原因呢?可以修复吗? ------------- 原文: ['Pace', 'outdistanced', 'three', 'senior', 'finalists', '--', 'Virginia', 'Tech', 'defensive', 'end', 'Cornell', 'Brown', ',', 'Arizona', 'State', 'offensive', 'tackle', 'Juan', 'Roque', 'and', 'defensive', 'end', 'Jared', 'Tomich',...

Hi Adaxry! You have used BERT large which at the time was the state of the art pre trained transformer. But nowadays is had been succeeded by XLnet which is...