? ? 綜述論文對于初學(xué)者來說，可以方便其在研究初期盡快掌握該方向的發(fā)展趨勢。目前我在GitHub上發(fā)現(xiàn)一個開源項(xiàng)目，上面總結(jié)了385篇自然語言處理和機(jī)器學(xué)習(xí)領(lǐng)域的綜述論文，他們將這些論文按熱門話題進(jìn)行了歸類，并對一些有趣的問題進(jìn)行了簡單的統(tǒng)計。

? ? 總體分類如下：

• 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

????

????對各領(lǐng)域的論文數(shù)量統(tǒng)計如下：

NLP各領(lǐng)域的論文數(shù)統(tǒng)計