Yves Peirsman

Natural Language Processing · 2006–2013

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yves Peirsman trusts overall

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

  1. Vincent Ng
  2. Hal Daumé Iii
  3. Simone Paolo Ponzetto
  4. Eric Bengtson
  5. Daniel Klein
  6. Christopher D. Manning
  7. Sameer Pradhan

Who trusts Yves Peirsman overall

  1. Nafise Sadat Moosavi
  2. Greg Durrett
  3. Kevin Clark
  4. Christopher D. Manning
  5. Rodrigo Agerri
  6. Daniel Klein
  7. Junlin Yang
  8. Amir Zeldes
  9. Altaf Rahman
  10. Philip John Gorinski

Papers from Yves Peirsman's perspective

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

  1. Improving Machine Learning Approaches to Coreference Resolution
  2. Accurate Unlexicalized Parsing
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. OntoNotes: The 90% Solution
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers