Dong Nguyen
Artificial Intelligence · with Hale · 2011–2021
A researcher in the Science corpus: 13 papers; trusts 220 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 340 citations into it; #14,821 of 35,345 by trust here, #7,346 by citations
- Natural Language Processing — 247 citations into it; #2,854 of 5,688 by trust here, #1,660 by citations
- Safety, Robustness & Interpretability — 90 citations into it; #1,350 of 2,251 by trust here, #1,078 by citations
- Information Systems — 70 citations into it; #7,861 of 8,771 by trust here, #2,912 by citations
- Communication — 61 citations into it
- Evaluation & Benchmarks — 53 citations into it
- Sociology and Political Science — 45 citations into it; #11,450 of 22,756 by trust here, #4,059 by citations
- Language and Linguistics — 37 citations into it
Whom Dong Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Eisenstein
- Penelope Eckert
- James W. Pennebaker
- Brendan T. O'Connor
- Geoffrey E. Hinton
- Yoshua Bengio
- Robert Tibshirani
- Federica Barbieri
- Diederik P. Kingma
- Tomas Mikolov
Who trusts Dong Nguyen overall
- Dirk Hovy
- Lucie Flekova
- A. Seza Doğruöz
- Francisco Manuel Rangel Pardo
- Roy Schwartz
- Dolf Trieschnigg
- Daniel Preotiuc-Pietro
- Bertie Vidgen
- Maarten Sap
- Carolyn Penstein Rosé
Papers from Dong Nguyen's perspective
Ordered by how strongly the researchers Dong Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- HateCheck: Functional Tests for Hate Speech Detection Models (2020) — 368 citations
- Challenges and frontiers in abusive content detection (2019) — 249 citations
- "How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013) — 347 citations
- On learning and representing social meaning in NLP: a sociolinguistic perspective (2021) — 44 citations
- Computational Sociolinguistics: A Survey (2016) — 205 citations
- Introducing CAD: the Contextual Abuse Dataset (2021) — 136 citations
- Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework (2021) — 20 citations
- Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings (2019) — 95 citations
- TweetGenie: Development, Evaluation, and Lessons Learned (2014) — 15 citations
- Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment (2014) — 135 citations
- Author Age Prediction from Text using Linear Regression (2011) — 205 citations
- Language use as a reflection of socialization in online communities (2011) — 60 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online