Josef Ruppenhofer

Natural Language Processing · 2006–2021

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Josef Ruppenhofer trusts overall

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

  1. Ivan A. Sag
  2. Adele E. Goldberg
  3. Joan Bybee
  4. Zeerak Talat
  5. Michael Wiegand
  6. William Warner
  7. Anna Schmidt
  8. Paula Fortuna
  9. Sweta Agrawal
  10. Mladen Karan

Who trusts Josef Ruppenhofer overall

  1. Bertie Vidgen
  2. Svetlana Kiritchenko
  3. Mai Elsherief
  4. Amit P. Sheth
  5. Isar Nejadgholi
  6. Jonathan Berant
  7. Tanmay Garg
  8. Alexis Palmer
  9. Christopher Potts
  10. Thomas Mandl

Papers from Josef Ruppenhofer's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. GloVe: Global Vectors for Word Representation
  7. ImageNet classification with deep convolutional neural networks
  8. Efficient Estimation of Word Representations in Vector Space
  9. Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers