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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