Courtney Napoles
Natural Language Processing · 2012–2017
A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 121 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 36 citations into it; #769 of 5,688 by trust here, #1,466 by citations
- Artificial Intelligence — 33 citations into it; #3,957 of 35,345 by trust here, #7,413 by citations
- Evaluation & Benchmarks — 19 citations into it; #466 of 3,147 by trust here, #1,242 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Courtney Napoles trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hwee Tou Ng
- Hoifung Poon
- Christian Federmann
- Keisuke Sakaguchi
- Dekang Lin
- Advaith Siddharthan
- Daniel Dahlmeier
- Franz Joseph Och
- Alon Lavie
- Zhongqiang Huang
Who trusts Courtney Napoles overall
- Tao Ge
- Ellie Pavlick
- Furu Wei
- Lei Yu
- Thomas Scialom
- Jackie Chi Kit Cheung
- Alexander M. Rush
- Alexios Gidiotis
- Benjamin Van Durme
- Sho Takase
Papers from Courtney Napoles's perspective
Ordered by how strongly the researchers Courtney Napoles trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Gradient-based learning applied to document recognition
Their papers
- Optimizing Statistical Machine Translation for Text Simplification (2016) — 757 citations
- Problems in Current Text Simplification Research: New Data Can Help (2015) — 496 citations
- JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction (2017) — 231 citations
- Ground Truth for Grammatical Error Correction Metrics (2015) — 238 citations
- Annotated Gigaword (2012) — 376 citations