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NLP领域,你推荐哪些综述性的文章?
来自 | Jerry的算法和NLP


作者:徐波,东华大学计算机学院导师研究方向为人工智能、大数据及知识图谱。创建了目前最大的中文开放知识图谱之一:CN-DBpedia,累计API调用次数超过10亿次。

2020年NLP领域出现了很多篇高质量的Survey,强烈推荐。
1、命名实体识别 
《A Survey on Deep Learning for Named Entity Recognition》
https://arxiv.org/abs/1812.09449
2、关系抽取
《More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction》
https://arxiv.org/abs/2004.03186
3、文本分类
《Deep Learning Based Text Classification: A Comprehensive ReviewDeep Learning Based Text Classification》
https://arxiv.org/abs/2004.03705
4、预训练模型
《Pre-trained Models for Natural Language Processing: A Survey Pre-trained Models for Natural Language Processing》
https://arxiv.org/abs/2003.08271

《A Survey on Contextual Embeddings》
https://arxiv.org/abs/2003.07278

5、知识图谱
《A Survey on Knowledge Graphs: Representation, Acquisition and Applications》
https://arxiv.org/abs/2002.00388

《Knowledge Graphs》
https://arxiv.org/abs/2003.02320v2


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NLP领域,你推荐哪些综述性的文章?

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