Saga Hansson

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saga Hansson trusts overall

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

  1. David Yarowsky
  2. Shane Bergsma
  3. Hector J. Levesque
  4. Gabriel Stanovsky
  5. Rachel Rudinger
  6. Jieyu Zhao
  7. Dekang Lin
  8. Noah A. Smith
  9. Ernest Davis
  10. Jason Naradowsky

Papers from Saga Hansson's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. The Winograd Schema Challenge
  6. ImageNet classification with deep convolutional neural networks
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gender Bias in Coreference Resolution
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Bootstrapping Path-Based Pronoun Resolution

Their papers