史上最全!358篇机器学习&自然语言处理综述论文!都这儿了

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最近东北大学自然语言处理实验室在Github上发布了 自然语言处理与机器学习最新综述论文合集,共有358篇之多,涵盖ML&nlp众多主题 , 是一份非常不错的指南!

地址:
https://github.com/NiuTrans/ABigSurvey#architectures

在本文中,我们调研了数百篇关于自然语言处理(NLP)和机器学习(ML)的综述论文。我们将这些论文按热门话题分类,并对一些有趣的问题进行简单计算。此外,我们还显示了论文的url列表(358篇论文)。


目录:

  • 自然语言处理 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

  • 机器学习 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

统计情况:


史上最全!358篇机器学习&自然语言处理综述论文!都这儿了

自然语言处理各主题论文分布情况

史上最全!358篇机器学习&自然语言处理综述论文!都这儿了


机器学习理各主题论文分布情况

史上最全!358篇机器学习&自然语言处理综述论文!都这儿了

NLP&ML发展越来越快,论文越来越多

史上最全!358篇机器学习&自然语言处理综述论文!都这儿了

机器学习热门词


史上最全!358篇机器学习&自然语言处理综述论文!都这儿了

自然语言处理热门词


部分综述论文示例

自然语言处理

  • Dialogue and Interactive Systems

    A Comparative Survey of Recent Natural Language Interfaces for Databases. VLDB 2019 paper

    Katrin Affolter, Kurt Stockinger, Abraham Bernstein

    A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message. arXiv 2015 paper

    AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith

    A Survey of Available Corpora for Building Data-Driven Dialogue Systems. arXiv 2015 paper

    Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau

  • Knowledge Graph

    A survey of techniques for constructing chinese knowledge graphs and their applications. mdpi 2018 paper

    Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang

    A Survey on Knowledge Graphs: Representation, Acquisition and Applications. arXiv 2020 paper

    Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:

    Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. arXiv 2016 paper

    Andrea Rossi, Donatella Firmani, Antonio Matinata, Paolo Merialdo, Denilson Barbosa

    Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE 2017 paper

    Quan Wang, Zhendong Mao, Bin Wang, Li Guo

    Knowledge Graphs. arXiv 2020 paper


机器学习

  1. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. arXiv 2020 paper

    Zewen Li, Wenjie Yang, Shouheng Peng, Fan Liu

  2. A Survey of End-to-End Driving: Architectures and Training Methods. arXiv 2020 paper

    Ardi Tampuu, Maksym Semikin, Naveed Muhammad, Dmytro Fishman, Tambet Matiisen

  3. A Survey on Latent Tree Models and Applications. Journal of Artificial Intelligence Research 2013 paper

    Raphael Mourad, Christine Sinoquet, Nevin L. Zhang, Tengfei Liu, Philippe Leray

  4. An Attentive Survey of Attention Models. arXiv 2019 paper

    Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal

  5. Binary Neural Networks: A Survey. Pattern Recognition 2020 paper

    Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe

  6. Deep Echo State Network (DeepESN): A Brief Survey. arXiv 2017 paper

    Claudio Gallicchio, Alessio Micheli

更多请上Github或者专知查看!

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