James Clarke

Natural Language Processing · with Goldwasser · 2006–2011

A researcher in the Science corpus: 6 papers; trusts 64 researchers and is trusted by 115 researchers here, as inferred from the citation graph.

Subfields

Whom James Clarke trusts overall

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

  1. Dan Roth
  2. Hongyan Jing
  3. Kevin Knight
  4. Ted Briscoe
  5. Raymond J. Mooney
  6. Luke S. Zettlemoyer
  7. Koby Crammer
  8. Michael Collins
  9. Eugene Charniak
  10. Philip Clarkson

Who trusts James Clarke overall

  1. Mirella Lapata
  2. Katja Filippova
  3. Percy Liang
  4. Yang Liu
  5. Luke S. Zettlemoyer
  6. Yoav Artzi
  7. Jonathan Berant
  8. Mohit Bansal
  9. Jayant Krishnamurthy
  10. Shay B. Cohen

Papers from James Clarke's perspective

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

Their papers