In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the papers with urls (813 papers).
We follow the ACL and ICML submission guideline of recent years, covering a broad range of areas in NLP and ML. The categorization is as follows:
- 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
- Named Entity Recognition
- Natural Language Inference
- Natural Language Processing
- NLP Applications
- Pre-training
- Question Answering
- Reading Comprehension
- Recommender Systems
- Resources and Evaluation
- Semantics
- Sentiment Analysis, Stylistic Analysis and Argument Mining
- Speech and Multimodality
- Summarization
- Tagging, Chunking, Syntax and Parsing
- Text Classification
- Machine Learning
- Architectures
- AutoML
- Bayesian Methods
- Classification, Clustering and Regression
- Computer Vision
- Contrastive Learning
- 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
- Knowledge Distillation
- Meta Learning
- Metric Learning
- ML and DL Applications
- Model Compression and Acceleration
- Multi-Label Learning
- Multi-Task and Multi-View Learning
- Online Learning
- Optimization
- Semi-Supervised,-Weakly-Supervised-and-Unsupervised-Learning
- Transfer Learning
- Trustworthy Machine Learning
To reduce class imbalance, we separate some of the hot sub-topics from the original categorization of ACL and ICML submissions. E.g., Named Entity Recognition is a first-level area in our categorization because it is the focus of several surveys.
We show the number of paper in each area in Figures 1-2.
Figure 1: # of papers in each NLP area.
Figure 2: # of papers in each ML area..
Also, we plot paper number as a function of publication year (see Figure 3).
Figure 3: # of papers vs publication year.
In addition, we generate word clouds to show hot topics in these surveys (see Figures 4-5).
Figure 4: The word cloud for NLP.
Figure 5: The word cloud for ML.
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A Comprehensive Survey on Community Detection with Deep Learning. arXiv 2021 paper bib
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
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A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities. ACM Comput. Surv. 2020 paper bib
Xinyi Zhou, Reza Zafarani
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A Survey of Race, Racism, and Anti-Racism in NLP. ACL 2021 paper bib
Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov
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A Survey on Computational Propaganda Detection. IJCAI 2020 paper bib
Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov
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Computational Sociolinguistics: A Survey. Comput. Linguistics 2016 paper bib
Dong Nguyen, A. Seza Dogruöz, Carolyn Penstein Rosé, Franciska de Jong
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Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective. J. Artif. Intell. Res. 2021 paper bib
Svetlana Kiritchenko, Isar Nejadgholi, Kathleen C. Fraser
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From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. J. Soc. Comput. 2021 paper bib
Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
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Language (Technology) is Power: A Critical Survey of "Bias" in NLP. ACL 2020 paper bib
Su Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. Wallach
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Societal Biases in Language Generation: Progress and Challenges. ACL 2021 paper bib
Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng
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Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. arXiv 2019 paper bib
Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
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When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?. ACL 2020 paper bib
Kenneth Joseph, Jonathan H. Morgan
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A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message. IJNLC 2015 paper bib
AbdelRahim A. Elmadany, Sherif M. Abdou, Mervat Gheith
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A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version. Dialogue Discourse 2018 paper bib
Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau
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A Survey of Document Grounded Dialogue Systems (DGDS). arXiv 2020 paper bib
Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu
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A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions. arXiv 2019 paper bib
Sashank Santhanam, Samira Shaikh
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A Survey on Dialog Management: Recent Advances and Challenges. arXiv 2020 paper bib
Yinpei Dai, Huihua Yu, Yixuan Jiang, Chengguang Tang, Yongbin Li, Jian Sun
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A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explor. 2017 paper bib
Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang
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Advances in Multi-turn Dialogue Comprehension: A Survey. arXiv 2021 paper bib
Zhuosheng Zhang, Hai Zhao
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Challenges in Building Intelligent Open-domain Dialog Systems. ACM Trans. Inf. Syst. 2020 paper bib
Minlie Huang, Xiaoyan Zhu, Jianfeng Gao
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Conversational Machine Comprehension: a Literature Review. COLING 2020 paper bib
Somil Gupta, Bhanu Pratap Singh Rawat, Hong Yu
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Neural Approaches to Conversational AI. ACL 2018 paper bib
Jianfeng Gao, Michel Galley, Lihong Li
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Neural Approaches to Conversational AI: Question Answering, Task-oriented Dialogues and Social Chatbots. Now Foundations and Trends 2019 paper bib
Jianfeng Gao, Michel Galley, Lihong Li
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POMDP-Based Statistical Spoken Dialog Systems: A Review. Proc. IEEE 2013 paper bib
Steve J. Young, Milica Gasic, Blaise Thomson, Jason D. Williams
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Recent Advances and Challenges in Task-oriented Dialog System. arXiv 2020 paper bib
Zheng Zhang, Ryuichi Takanobu, Minlie Huang, Xiaoyan Zhu
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Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. arXiv 2021 paper bib
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria
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Utterance-level Dialogue Understanding: An Empirical Study. arXiv 2020 paper bib
Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria
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How to Evaluate Your Dialogue Models: A Review of Approaches. arXiv 2021 paper bib
Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin
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A Survey of Knowledge-Enhanced Text Generation. arXiv 2020 paper bib
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
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A Survey on Text Simplification. arXiv 2020 paper bib
Punardeep Sikka, Vijay Mago
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Automatic Detection of Machine Generated Text: A Critical Survey. COLING 2020 paper bib
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
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Automatic Story Generation: Challenges and Attempts. arXiv 2021 paper bib
Amal Alabdulkarim, Siyan Li, Xiangyu Peng
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Content Selection in Data-to-Text Systems: A Survey. arXiv 2016 paper bib
Dimitra Gkatzia
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Data-Driven Sentence Simplification: Survey and Benchmark. Comput. Linguistics 2020 paper bib
Fernando Alva-Manchego, Carolina Scarton, Lucia Specia
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Deep Learning for Text Style Transfer: A Survey. arXiv 2020 paper bib
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
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Evaluation of Text Generation: A Survey. arXiv 2020 paper bib
Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao
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Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers. arXiv 2021 paper bib
Mika Hämäläinen, Khalid Al-Najjar
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Keyphrase Generation: A Multi-Aspect Survey. FRUCT 2019 paper bib
Erion Çano, Ondrej Bojar
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Neural Language Generation: Formulation, Methods, and Evaluation. arXiv 2020 paper bib
Cristina Garbacea, Qiaozhu Mei
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Neural Text Generation: Past, Present and Beyond. arXiv 2018 paper bib
Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu
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Quiz-Style Question Generation for News Stories. WWW 2021 paper bib
Ádám D. Lelkes, Vinh Q. Tran, Cong Yu
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Recent Advances in Neural Question Generation. arXiv 2019 paper bib
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, Min-Yen Kan
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Recent Advances in SQL Query Generation: A Survey. arXiv 2020 paper bib
Jovan Kalajdjieski, Martina Toshevska, Frosina Stojanovska
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Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation. J. Artif. Intell. Res. 2018 paper bib
Albert Gatt, Emiel Krahmer
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A Compact Survey on Event Extraction: Approaches and Applications. arXiv 2021 paper bib
Qian Li, Hao Peng, Jianxin Li, Yiming Hei, Rui Sun, Jiawei Sheng, Shu Guo, Lihong Wang, Philip S. Yu
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A Review on Fact Extraction and Verification. arXiv 2020 paper bib
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
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A Survey of Deep Learning Methods for Relation Extraction. arXiv 2017 paper bib
Shantanu Kumar
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A Survey of Event Extraction From Text. IEEE Access 2019 paper bib
Wei Xiang, Bang Wang
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A Survey of event extraction methods from text for decision support systems. Decis. Support Syst. 2016 paper bib
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong, Emiel Caron
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A survey of joint intent detection and slot-filling models in natural language understanding. arXiv 2021 paper bib
Henry Weld, Xiaoqi Huang, Siqi Long, Josiah Poon, Soyeon Caren Han
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A Survey of Textual Event Extraction from Social Networks. LPKM 2017 paper bib
Mohamed Mejri, Jalel Akaichi
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A Survey on Open Information Extraction. COLING 2018 paper bib
Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh
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A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract). IJCAI 2020 paper bib
Artuur Leeuwenberg, Marie-Francine Moens
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An Overview of Event Extraction from Text. DeRiVE@ISWC 2011 paper bib
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong
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Automatic Extraction of Causal Relations from Natural Language Texts: A Comprehensive Survey. arXiv 2016 paper bib
Nabiha Asghar
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Complex Relation Extraction: Challenges and Opportunities. arXiv 2020 paper bib
Haiyun Jiang, Qiaoben Bao, Qiao Cheng, Deqing Yang, Li Wang, Yanghua Xiao
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Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges. AI Open 2020 paper bib
Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao
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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL 2020 paper bib
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
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Neural relation extraction: a survey. arXiv 2020 paper bib
Mehmet Aydar, Ozge Bozal, Furkan Özbay
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Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey. COLING 2020 paper bib
Samuel Louvan, Bernardo Magnini
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Relation Extraction : A Survey. arXiv 2017 paper bib
Sachin Pawar, Girish K. Palshikar, Pushpak Bhattacharyya
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Techniques for Jointly Extracting Entities and Relations: A Survey. arXiv 2021 paper bib
Sachin Pawar, Pushpak Bhattacharyya, Girish K. Palshikar
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A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques. arXiv 2017 paper bib
Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saied Safaei, Elizabeth D. Trippe, Juan B. Gutierrez, Krys J. Kochut
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A survey of methods to ease the development of highly multilingual text mining applications. Lang. Resour. Evaluation 2012 paper bib
Ralf Steinberger
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Data Mining and Information Retrieval in the 21st century: A bibliographic review. Comput. Sci. Rev. 2019 paper bib
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia
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Neural Entity Linking: A Survey of Models Based on Deep Learning. arXiv 2020 paper bib
Özge Sevgili, Artem Shelmanov, Mikhail Y. Arkhipov, Alexander Panchenko, Chris Biemann
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Neural Models for Information Retrieval. arXiv 2017 paper bib
Bhaskar Mitra, Nick Craswell
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Opinion Mining and Analysis: A survey. IJNLC 2013 paper bib
Arti Buche, M. B. Chandak, Akshay Zadgaonkar
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Relational World Knowledge Representation in Contextual Language Models: A Review. EMNLP 2021 paper bib
Tara Safavi, Danai Koutra
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Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. arXiv 2019 paper bib
Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu
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Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021 paper bib
He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine
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A Primer in BERTology: What we know about how BERT works. Trans. Assoc. Comput. Linguistics 2020 paper bib
Anna Rogers, Olga Kovaleva, Anna Rumshisky
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A Survey of the State of Explainable AI for Natural Language Processing. AACL 2020 paper bib
Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen
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A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images. arXiv 2020 paper bib
Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo andía, Cristian Tejos, Claudia Prieto, Daniel Capurro
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A Survey on Explainability in Machine Reading Comprehension. arXiv 2020 paper bib
Mokanarangan Thayaparan, Marco Valentino, André Freitas
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Analysis Methods in Neural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 2019 paper bib
Yonatan Belinkov, James R. Glass
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Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop. Nat. Lang. Eng. 2019 paper bib
Afra Alishahi, Grzegorz Chrupala, Tal Linzen
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Post-hoc Interpretability for Neural NLP: A Survey. arXiv 2021 paper bib
Andreas Madsen, Siva Reddy, Sarath Chandar
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Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing. arXiv 2021 paper bib
Sarah Wiegreffe, Ana Marasović
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*Which BERT? A Survey Organizing Contextualized Encoders. EMNLP 2020 paper bib
Patrick Xia, Shijie Wu, Benjamin Van Durme
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A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE 2016 paper bib
Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich
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A survey of embedding models of entities and relationships for knowledge graph completion. arXiv 2017 paper bib
Dat Quoc Nguyen
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A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs. arXiv 2020 paper bib
Alexander Kalinowski, Yuan An
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A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications. Sustainability 2018 paper bib
Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang
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A Survey on Graph Neural Networks for Knowledge Graph Completion. arXiv 2020 paper bib
Siddhant Arora
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A Survey on Knowledge Graphs: Representation, Acquisition and Applications. arXiv 2020 paper bib
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu
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Introduction to neural network-based question answering over knowledge graphs. WIREs Data Mining Knowl. Discov. 2021 paper bib
Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer
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Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. ACM Trans. Knowl. Discov. Data 2021 paper bib
Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, Paolo Merialdo
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Knowledge Graph Embedding: A Survey of Approaches and Applications. IEEE Trans. Knowl. Data Eng. 2017 paper bib
Quan Wang, Zhendong Mao, Bin Wang, Li Guo
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Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods. Semantic Web 2017 paper bib
Heiko Paulheim
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Knowledge Graphs. ACM Comput. Surv. 2021 paper bib
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutiérrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann
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Knowledge Graphs: An Information Retrieval Perspective. Found. Trends Inf. Retr. 2020 paper bib
Ridho Reinanda, Edgar Meij, Maarten de Rijke
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知识表示学习研究进展. 计算机研究与发展 2016 paper bib
刘知远, 孙茂松, 林衍凯, 谢若冰
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Neural, Symbolic and Neural-symbolic Reasoning on Knowledge Graphs. AI Open 2021 paper bib
Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding
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Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications. arXiv 2020 paper bib
Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang
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领域知识图谱研究综述. 计算机系统应用 2020 paper bib
刘烨宸, 李华昱
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A comprehensive survey of mostly textual document segmentation algorithms since 2008. Pattern Recognit. 2017 paper bib
Sébastien Eskenazi, Petra Gomez-Krämer, Jean-Marc Ogier
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Emotionally-Aware Chatbots: A Survey. arXiv 2019 paper bib
Endang Wahyu Pamungkas
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From Show to Tell: A Survey on Deep Learning-based Image Captioning. arXiv 2021 paper bib
Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara
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Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods. arXiv 2019 paper bib
Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow
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A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies. ACL 2021 paper bib
A. Seza Dogruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio
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Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. Comput. Linguistics 2019 paper bib
Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen
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Survey on the Use of Typological Information in Natural Language Processing. COLING 2016 paper bib
Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Anna Korhonen
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A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models. ACM Trans. Asian Low Resour. Lang. Inf. Process. 2021 paper bib
Usman Naseem, Imran Razzak, Shah Khalid Khan, Mukesh Prasad
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A Survey Of Cross-lingual Word Embedding Models. J. Artif. Intell. Res. 2019 paper bib
Sebastian Ruder, Ivan Vulic, Anders Søgaard
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A Survey of Data Augmentation Approaches for NLP. ACL 2021 paper bib
Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard H. Hovy
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A Survey of Neural Network Techniques for Feature Extraction from Text. arXiv 2017 paper bib
Vineet John
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A Survey of Neural Networks and Formal Languages. arXiv 2020 paper bib
Joshua Ackerman, George Cybenko
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A Survey of the Usages of Deep Learning in Natural Language Processing. arXiv 2018 paper bib
Daniel W. Otter, Julian R. Medina, Jugal K. Kalita
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A Survey on Contextual Embeddings. arXiv 2020 paper bib
Qi Liu, Matt J. Kusner, Phil Blunsom
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A Survey on Transfer Learning in Natural Language Processing. arXiv 2020 paper bib
Zaid Alyafeai, Maged Saeed AlShaibani, Irfan Ahmad
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Adversarial Attacks and Defense on Texts: A Survey. arXiv 2020 paper bib
Aminul Huq, Mst. Tasnim Pervin
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Adversarial Attacks on Deep-Learning Models in Natural Language Processing: A Survey. ACM Trans. Intell. Syst. Technol. 2020 paper bib
Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F. Alhazmi, Chenliang Li
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An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. W-NUT@EMNLP 2020 paper bib
Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, Soroush Vosoughi
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Bangla Natural Language Processing: A Comprehensive Review of Classical, Machine Learning, and Deep Learning Based Methods. arXiv 2021 paper bib
Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam, Jakaria Rabbi, Md. Kamrul Hasan, Awal Ahmed Fime, Md. Tahmid Hasan Fuad, Delowar Sikder, Md. Akil Raihan Iftee
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Federated Learning Meets Natural Language Processing: A Survey. arXiv 2021 paper bib
Ming Liu, Stella Ho, Mengqi Wang, Longxiang Gao, Yuan Jin, He Zhang
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From static to dynamic word representations: a survey. Int. J. Mach. Learn. Cybern. 2020 paper bib
Yuxuan Wang, Yutai Hou, Wanxiang Che, Ting Liu
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning. J. Artif. Intell. Res. 2018 paper bib
José Camacho-Collados, Mohammad Taher Pilehvar
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Graph Neural Networks for Natural Language Processing: A Survey. arXiv 2021 paper bib
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo, Hanning Gao, Shucheng Li, Jian Pei, Bo Long
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Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems. arXiv 2019 paper bib
Laura von Rueden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
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Narrative Science Systems: A Review. International Journal of Research in Computer Science 2015 paper bib
Paramjot Kaur Sarao, Puneet Mittal, Rupinder Kaur
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Natural Language Processing Advancements By Deep Learning: A Survey. arXiv 2020 paper bib
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf, Edward A. Fox
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Recent Trends in Deep Learning Based Natural Language Processing [Review Article]. IEEE Comput. Intell. Mag. 2018 paper bib
Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria
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网络表示学习算法综述. 计算机科学 2020 paper bib
丁钰, 魏浩, 潘志松, 刘鑫
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Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey. Frontiers Robotics AI 2019 paper bib
Lorenzo Ferrone, Fabio Massimo Zanzotto
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Token-Modification Adversarial Attacks for Natural Language Processing: A Survey. arXiv 2021 paper bib
Tom Roth, Yansong Gao, Alsharif Abuadbba, Surya Nepal, Wei Liu
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Towards a Robust Deep Neural Network in Texts: A Survey. arXiv 2019 paper bib
Wenqi Wang, Lina Wang, Run Wang, Zhibo Wang, Aoshuang Ye
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Word Embeddings: A Survey. arXiv 2019 paper bib
Felipe Almeida, Geraldo Xexéo
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A Comprehensive Survey of Multilingual Neural Machine Translation. arXiv 2020 paper bib
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
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A Survey of Deep Learning Techniques for Neural Machine Translation. arXiv 2020 paper bib
Shuoheng Yang, Yuxin Wang, Xiaowen Chu
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A Survey of Domain Adaptation for Neural Machine Translation. COLING 2018 paper bib
Chenhui Chu, Rui Wang
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A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation. arXiv 2019 paper bib
Ilshat Gibadullin, Aidar Valeev, Albina Khusainova, Adil Khan
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A Survey of Orthographic Information in Machine Translation. SN Comput. Sci. 2021 paper bib
Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan, John P. McCrae
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A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena. Comput. Linguistics 2016 paper bib
Arianna Bisazza, Marcello Federico
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A Survey on Document-level Neural Machine Translation: Methods and Evaluation. ACM Comput. Surv. 2021 paper bib
Sameen Maruf, Fahimeh Saleh, Gholamreza Haffari
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A Survey on Low-Resource Neural Machine Translation. IJCAI 2021 paper bib
Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu
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Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey. arXiv 2021 paper bib
Danielle Saunders
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Gender Bias in Machine Translation. arXiv 2021 paper bib
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, Marco Turchi
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Machine Translation Approaches and Survey for Indian Languages. Int. J. Comput. Linguistics Chin. Lang. Process. 2013 paper bib
P. J. Antony
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Machine Translation Approaches and Survey for Indian Languages. arXiv 2017 paper bib
Nadeem Jadoon Khan, Waqas Anwar, Nadir Durrani
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Machine Translation Evaluation Resources and Methods: A Survey. Ireland Postgraduate Research Conference 2018 paper bib
Lifeng Han
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Machine Translation using Semantic Web Technologies: A Survey. J. Web Semant. 2018 paper bib
Diego Moussallem, Matthias Wauer, Axel-Cyrille Ngonga Ngomo
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Machine-Translation History and Evolution: Survey for Arabic-English Translations. CJAST 2017 paper bib
Nabeel T. Alsohybe, Neama Abdulaziz Dahan, Fadl Mutaher Ba-Alwi
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Multimodal Machine Translation through Visuals and Speech. Mach. Transl. 2020 paper bib
Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, Jörg Tiedemann
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Neural Machine Translation and Sequence-to-sequence Models: A Tutorial. arXiv 2017 paper bib
Graham Neubig
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Neural Machine Translation for Low-Resource Languages: A Survey. arXiv 2021 paper bib
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skenduli, Ravi Shekhar, Mehreen Alam, Rishemjit Kaur
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Neural Machine Translation: A Review. J. Artif. Intell. Res. 2020 paper bib
Felix Stahlberg
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Neural machine translation: A review of methods, resources, and tools. AI Open 2020 paper bib
Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
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Neural Machine Translation: Challenges, Progress and Future. Science China Technological Sciences 2020 paper bib
Jiajun Zhang, Chengqing Zong
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Survey of Low-Resource Machine Translation. arXiv 2021 paper bib
Barry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, Jindrich Helcl, Alexandra Birch
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The Query Translation Landscape: a Survey. arXiv 2019 paper bib
Mohamed Nadjib Mami, Damien Graux, Harsh Thakkar, Simon Scerri, Sören Auer, Jens Lehmann
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The project is maintained by
Ziyang Wang, Shuhan Zhou, Nuo Xu, Bei Li, Yinqiao Li, Quan Du, Tong Xiao, and Jingbo Zhu
Natural Language Processing Lab., School of Computer Science and Engineering, Northeastern University
NiuTrans Research
Please feel free to contact us if you have any questions (wangziyang [at] stumail.neu.edu.cn or libei_neu [at] outlook.com).
We would like to thank the people who have contributed to this project. They are
Xin Zeng, Laohu Wang, Chenglong Wang, Xiaoqian Liu, Xuanjun Zhou, Jingnan Zhang, Yongyu Mu, Zefan Zhou, Yanhong Jiang, Xinyang Zhu, Xingyu Liu, Dong Bi, Ping Xu, Zijian Li, Fengning Tian, Hui Liu, Kai Feng, Yuhao Zhang, Chi Hu, Di Yang, Lei Zheng, Hexuan Chen, Zeyang Wang, Tengbo Liu, Xia Meng, Weiqiao Shan, Tao Zhou, Runzhe Cao, Yingfeng Luo, Binghao Wei, Wandi Xu, Yan Zhang, Yichao Wang, Mengyu Ma, Zihao Liu