Nizar Habash

Artificial Intelligence · Annual Meeting of the Association for Computational Linguistics · 2005–2021

A researcher in the Science corpus: 19 papers; trusts 158 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Nizar Habash trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Mona T. Diab
  4. Owen Rambow
  5. Andreas Stolcke
  6. Ibrahim Badr
  7. Joakim Nivre
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Christopher D. Manning

Who trusts Nizar Habash overall

  1. Sarah Alkuhlani
  2. Yonatan Belinkov
  3. Ahmed El Kholy
  4. Houda Bouamor
  5. Ali Farghaly
  6. Ibrahim Badr
  7. Mohammed Attia
  8. Bashar Alhafni
  9. Yuval Marton
  10. Emily Sheng

Papers from Nizar Habash's perspective

Ordered by how strongly the researchers Nizar Habash 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers