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【NLP+图神经网络+推荐领域】2020年最新综述性文章推荐

来源：淘系技术公众号作者：淘系技术Q：NLP领域，有哪些值得推荐的综述性文章？松岭：NLP领域覆盖的应用场景较多，其中很多场景都需要对文本进行深度的语义分析才能够较好的完成任务，例如问答、翻译、对话、指代消解等。而其中很多任务由于标注成本非常高，能够获取的有监督语料比较少，传统的序列标注模型能够提升...

NLP多任务学习：一种层次增长的神经网络结构 | PaperDaily #16

由于神经网络强大的表达能力，在 NLP 领域研究者们开始研究基于神经网络的多任务学习。大多数方法通过网络参数共享来学习任务间的关联，提升各任务效果。本期推荐的论文笔记来自 PaperWeekly 社区用户 @robertdlut。这篇文章介绍了一个联合的多任务（joint many-task）模型...

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