Nancy Chang

Natural Language Processing · 2003–2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nancy Chang trusts overall

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

  1. S. Branavan
  2. Luke S. Zettlemoyer
  3. Yoav Artzi
  4. Noah D. Goodman
  5. Haonan Yu

Who trusts Nancy Chang overall

  1. Luc Steels
  2. Jerome A. Feldman

Papers from Nancy Chang's perspective

Ordered by how strongly the researchers Nancy Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Reinforcement Learning for Mapping Instructions to Actions
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning to Parse Natural Language Commands to a Robot Control System
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers