Tae-Gil Noh

Natural Language Processing · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tae-Gil Noh trusts overall

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

  1. Dekang Lin
  2. Ido Dagan
  3. Dekang Lin
  4. Joakim Nivre
  5. Asher Stern
  6. Yoav Goldberg
  7. Christopher D. Manning
  8. Johan Bos
  9. Aria Haghighi
  10. Kristina Toutanvoa

Papers from Tae-Gil Noh's perspective

Ordered by how strongly the researchers Tae-Gil Noh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Book Reviews: WordNet: An Electronic Lexical Database
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers