Delphine Bernhard

Artificial Intelligence · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Delphine Bernhard trusts overall

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

  1. Andreas Stolcke
  2. Kevin Knight
  3. Daniel Klein
  4. Kenji Yamada
  5. Torsten Zesch
  6. Christopher D. Manning

Who trusts Delphine Bernhard overall

  1. Wei Xu
  2. Xingxing Zhang
  3. Sudha Rao
  4. Fernando Alva-Manchego
  5. Eric Malmi
  6. Claire Gardent
  7. Elior Sulem
  8. Bharat Ram Ambati
  9. Sander Wubben
  10. Jonathan Mallinson

Papers from Delphine Bernhard's perspective

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

  1. SRILM - an extensible language modeling toolkit
  2. A Syntax-based Statistical Translation Model (Annual Meeting of the Association for Computational Linguistics)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Statistics-Based Summarization - Step One: Sentence Compression (AAAI/IAAI)
  10. Fast Exact Inference with a Factored Model for Natural Language Parsing (Neural Information Processing Systems)

Their papers