Kai-Chou Yang

Natural Language Processing · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 57 citations into it; #2,996 of 5,688 by trust here, #1,366 by citations
• Artificial Intelligence — 56 citations into it; #16,900 of 35,345 by trust here, #5,749 by citations
• Management Science and Operations Research — 7 citations into it

Whom Kai-Chou Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Leo Breiman
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Ilya Sutskever
6. Alex Krizhevsky
7. Yoshua Bengio
8. Nitish Srivastava
9. J. Urgen Schmidhuber
10. Richard Maclin

Who trusts Kai-Chou Yang overall

1. Tao Yu
2. Michihiro Yasunaga
3. Su Lin Blodgett
4. Kellie Webster
5. Ben Bogin
6. Rui Zhang
7. Xinyun Chen
8. Ahmed Elgohary
9. Haoyang Li
10. Jonathan Berant

Papers from Kai-Chou Yang's perspective

Ordered by how strongly the researchers Kai-Chou Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task (2018) — 1,963 citations
• SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task (2018) — 229 citations
• Fill the GAP: Exploiting BERT for Pronoun Resolution (2019) — 4 citations