https://blog.csdn.net/BitCs_zt/article/details/82938086
列出自己阅读的text classification论文的列表，以后有时间再整理相应的笔记。阅读价值评分纯粹是基于自己对于文章的理解，标准包括：动机、方法、数据集质量、实验安排、相关工作等，满分为5。列表如下：
名称 所属会议 类型 时间 阅读价值
Recurrent Convolutional Neural Networks for Text Classification AAAI long paper 2015 4.5
Do Convolutional Networks need to be Deep for Text Classification ? AAAI 2017 work shop 4.5
Learning Structured Representation for Text Classification via Reinforcement Learning AAAI 2018 long paper 4
Enriching Word Vectors with Subword Information ACL 2017 long paper 4
Deep Pyramid Convolutional Neural Networks for Text Categorization ACL 2017 long paper 4.5
Universal Language Model Fine-tuning for Text Classification ACL 2018 long paper 4
Task-oriented Word Embedding for Text Classification COLING 2018 long paper 3.5
Very deep convolutional networks for text classification EACL 2017 long paper 4
Bag of Tricks for Efficient Text Classification EACL 2017 short paper 4.5
Convolutional Neural Networks for Sentence Classification EMNLP long paper 2014 5
Recurrent Neural Network for Text Classification with Multi-Task Learning IJCAI long paper 2016 4
A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning IJCAI long paper 2017 4
Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification IJCAI long paper 2017 4.5
Densely Connected CNN with Multi-scale Feature Attention for Text Classification IJCAI long paper 2017 4
A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017 long paper 4.5
Hierarchical Attention Networks for Document Classification NACCL long paper 2016 4.5
Multinomial Adversarial Networks for Multi-Domain Text Classification NAACL long paper 2016 3
Gated Multi-Task Network for Text Classification NAACL long paper 2018 4
Character-level Convolutional Networks for Text Classification NIPS long paper 2015 4.5
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level 2016 4.5
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作者：ZSYGOOOD
来源：CSDN
原文：https://blog.csdn.net/BitCs_zt/article/details/82938086?utm_source=copy
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来源：oschina
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