Li Gong

Natural Language Processing · with Allauzen · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Gong trusts overall

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

  1. Franz Joseph Och
  2. Andreas Stolcke
  3. Holger Schwenk
  4. Kenneth Heafield
  5. Christoph Tillmann
  6. Ulrich Germann
  7. Stanley F. Chen
  8. Reinhard Kneser
  9. Yoshua Bengio
  10. Colin Cherry

Papers from Li Gong's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. A Neural Probabilistic Language Model
  3. An Empirical Study of Smoothing Techniques for Language Modeling
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Improved backing-off for M-gram language modeling
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Minimum Error Rate Training in Statistical Machine Translation

Their papers