Omar Zaidan
Natural Language Processing · 2007–2014
A researcher in the Science corpus: 7 papers; trusts 46 researchers and is trusted by 104 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 37 citations into it; #645 of 5,688 by trust here, #1,092 by citations
- Artificial Intelligence — 33 citations into it; #6,201 of 35,345 by trust here, #13,544 by citations
- Evaluation & Benchmarks — 27 citations into it; #899 of 3,147 by trust here, #1,574 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Statistics and Probability — 7 citations into it
- Information Systems — 5 citations into it
Whom Omar Zaidan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bo Pang
- Philipp Koehn
- Franz Joseph Och
- Michael Collins
- Lillian Lee
- Thorsten Joachims
- Philip Resnik
- John D. Lafferty
- A. P. Dawid
- Hema Raghavan
Who trusts Omar Zaidan overall
- Kevin Small
- Dan Roth
- Sarah Wiegreffe
- Parikshit Sondhi
- Jasmijn Bastings
- Ainur Yessenalina
- Yonatan Belinkov
- Divyansh Kaushik
- Matt Post
- Byron C. Wallace
Papers from Omar Zaidan's perspective
Ordered by how strongly the researchers Omar Zaidan trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Modeling Annotators: A Generative Approach to Learning from Annotator Rationales (2008) — 175 citations
- Arabic Dialect Identification (2014) — 333 citations
- Findings of the 2011 Workshop on Statistical Machine Translation (2011) — 255 citations
- Crowdsourcing Translation: Professional Quality from Non-Professionals (2011) — 395 citations
- A Grain of Salt for the WMT Manual Evaluation (2011) — 69 citations
- Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation (2010) — 233 citations
- Using “Annotator Rationales” to Improve Machine Learning for Text Categorization (2007) — 381 citations