【機(jī)器學(xué)習(xí)基礎(chǔ)】太棒了!這里有385篇自然語言處理和機(jī)器學(xué)習(xí)領(lǐng)域的綜述總結(jié)
? ? 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
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????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

ML各領(lǐng)域的論文數(shù)統(tǒng)計
除此之外,通過生成詞云的方式來展示這里面的熱門話題。

NLP領(lǐng)域的詞云

ML領(lǐng)域的詞云
項(xiàng)目作者:
該項(xiàng)目由東北大學(xué)計算機(jī)科學(xué)與工程學(xué)院的王紫陽,徐諾,李蓓,李銀喬,杜全,童曉和朱靜波自然語言處理實(shí)驗(yàn)室維護(hù)。
項(xiàng)目地址:
https://github.com/NiuTrans/ABigSurvey
(點(diǎn)擊底部閱讀原文即可直接訪問)
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