Ori Shapira
Natural Language Processing · 2019
A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 63 citations into it; #4,805 of 5,688 by trust here, #3,107 by citations
- Artificial Intelligence — 61 citations into it; #29,367 of 35,345 by trust here, #12,761 by citations
- Evaluation & Benchmarks — 21 citations into it; #2,524 of 3,147 by trust here, #2,133 by citations
Whom Ori Shapira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chin-Yew Lin
- Yang Gao
- Geoffrey E. Hinton
- Max Grusky
- Yoshua Bengio
- Richard Socher
- Diederik P. Kingma
- Ilya Sutskever
- Romain Paulus
- Christopher D. Manning
Who trusts Ori Shapira overall
- Daniel Deutsch
- Dan Roth
- Shiyue Zhang
- Mousumi Akter
- Faisal Ladhak
- Manik Bhandari
- Kalpesh Krishna
- Yixin Liu
- Sebastian Gehrmann
- Yang Gao
Papers from Ori Shapira's perspective
Ordered by how strongly the researchers Ori Shapira trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Better Rewards Yield Better Summaries: Learning to Summarise Without References (2019) — 117 citations
- How to Compare Summarizers without Target Length? Pitfalls, Solutions and Re-Examination of the Neural Summarization Literature (2019) — 53 citations
- Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation (2019) — 70 citations