图网络和少样本学习在自然语言 理解领域的前沿综述。本文旨在探索自然语言理解领域中(主要探索了命名实体识别,关系抽取)一些深度学习前沿的应用(主要探索了结合图神经网络和少样本学习场景的方法)共计15篇顶会论文(EMNLP,AAAI,ACL,COLING)。
☆18May 15, 2021Updated 5 years ago
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