Anita Ramm

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anita Ramm trusts overall

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

  1. Andreas Stolcke
  2. Kenneth Heafield
  3. Philipp Koehn
  4. Colin Cherry
  5. Eugene Charniak
  6. Qin Gao
  7. John D. Lafferty
  8. Franz Joseph Och
  9. Kristina Toutanova
  10. Marion Weller

Papers from Anita Ramm's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  4. Long Short-Term Memory
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers