Chao Han

International Conference on Computational Linguistics · with Huang · 2010

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Chao Han trusts overall

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

  1. Peter D. Turney
  2. Minqing Hu
  3. Andrea Esuli
  4. John D. Lafferty
  5. Adam L. Berger
  6. Ryan T. McDonald

Who trusts Chao Han overall

  1. B. Liu
  2. Lei Zhang
  3. Arjun Mukherjee
  4. Meishan Zhang
  5. Wenya Wang

Papers from Chao Han's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. A Maximum Entropy Approach to Natural Language Processing
  7. Long Short-Term Memory
  8. Mining and summarizing customer reviews
  9. Gradient-based learning applied to document recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers