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REALM: Retrieval-Augmented Language Model Pre Training 解读
时间 2021-01-04
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知识就是力量 培根 背景 去年可以说是语言模型快速发展的一年,BERT、XLNET、Albert等等模型不断刷新各个NLP榜单。在NLP榜单中比较引人注目的应该属于阅读理解型的任务,例如SQuAD等等。以SQuAD为例,模型需要阅读一段给定的文本,然后回答几个问题,问题如果存在答案,答案一定可以在文章中找到。所以说虽然叫阅读理解,但其实和序列标注有点相像,是在给定序列中标出答案段。而这篇论文针
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相关文章
1.
REALM: Retrieval-Augmented Language Model Pre-Training
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