文章来源于python遇见NLP，作者自然语言er

综述论文对于初学者来说，可以方便其在研究初期尽快掌握该方向的发展趋势。目前我在GitHub上发现一个开源项目，上面总结了385篇自然语言处理和机器学习领域的综述论文，他们将这些论文按热门话题进行了归类，并对一些有趣的问题进行了简单的统计。

总体分类如下：

• Natural Language Processing

• • Computational Social Science and Social Media

  • Dialogue and Interactive Systems

  • Generation

  • Information Extraction

  • Information Retrieval and Text Mining

  • Interpretability and Analysis of Models for NLP

  • Knowledge Graph

  • Language Grounding to Vision, Robotics and Beyond

  • Linguistic Theories, Cognitive Modeling and Psycholinguistics

  • Machine Learning for NLP

  • Machine Translation

  • Natural Language Processing

  • Named Entity Recognition (NER)

  • NLP Applications

  • Question Answering

  • Reading Comprehension

  • Recommender Systems

  • Resources and Evaluation

  • Semantics

  • Sentiment Analysis, Stylistic Analysis, and Argument Mining

  • Speech and Multimodality

  • Summarization

  • Syntax: Tagging, Chunking, Syntax and Parsing

  • Text Classification

• Machine Learning

• • Architectures

  • AutoML

  • Bayesian Methods

  • Classification,Clustering,Regression

  • Curriculum Learning

  • Data Augmentation

  • Deep Learning - General Methods

  • Deep Reinforcement Learning

  • Federated Learning

  • Few-Shot and Zero-Shot Learning

  • General Machine Learning

  • Generative Adversarial Networks

  • Graph Neural Networks

  • Interpretability and Analysis

  • Meta Learning

  • Metric Learning

  • ML Applications

  • Model Compression and Acceleration

  • Multi-Task and Multi-View Learning

  • Online Learning

  • Optimization

  • Semi-Supervised and Unsupervised Learning

  • Transfer Learning

  • Trustworthy Machine Learning

对各领域的论文数量统计如下：

NLP各领域的论文数统计

ML各领域的论文数统计

除此之外，通过生成词云的方式来展示这里面的热门话题。

NLP领域的词云

ML领域的词云

项目作者：

该项目由东北大学计算机科学与工程学院的王紫阳，徐诺，李蓓，李银乔，杜全，童晓和朱静波自然语言处理实验室维护。

项目地址：

https://github.com/NiuTrans/ABigSurvey

（点击底部阅读原文即可直接访问）

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