【机器学习基础】太棒了！这里有385篇自然语言处理和机器学习领域的综述总结

    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