Jennifer Foster

Natural Language Processing · 2009–2017

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Foster trusts overall

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

  1. Ted Briscoe
  2. Daisuke Okanohara
  3. Eugene Charniak
  4. John A. Carroll
  5. Noah A. Smith
  6. Gideon S. Mann
  7. Junichi Tsujii
  8. Mitchell P. Marcus
  9. Jason Eisner
  10. Michael Collins

Who trusts Jennifer Foster overall

  1. Mariano Felice
  2. Adriane Boyd
  3. Tao Ge
  4. Roman Grundkiewicz
  5. Furu Wei
  6. Yu Wang
  7. Yu Wang
  8. Wangchunshu Zhou
  9. M. Zhou
  10. Marcin Junczys-Dowmunt

Papers from Jennifer Foster's perspective

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

  1. Building a Large Annotated Corpus of English: The Penn Treebank
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Accurate Unlexicalized Parsing
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. LIBLINEAR: A Library for Large Linear Classification
  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