Christopher Bryant
Natural Language Processing · 2013–2019
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 23 citations into it; #1,485 of 5,688 by trust here, #2,045 by citations
- Artificial Intelligence — 14 citations into it; #3,826 of 35,345 by trust here, #7,606 by citations
- Evaluation & Benchmarks — 14 citations into it; #1,840 of 3,147 by trust here, #2,482 by citations
Whom Christopher Bryant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hwee Tou Ng
- Daniel Dahlmeier
- Ted Briscoe
- Sylviane Granger
- Helen Yannakoudakis
- Shamil Chollampatt
- Courtney Napoles
- Siew Mei Wu
- Mikel Artetxe
- Tao Ge
Who trusts Christopher Bryant overall
- Tao Ge
- Felix Stahlberg
- Zhaohong Wan
- Adriane Boyd
- Roman Grundkiewicz
- Yo Joong Choe
- Shuyao Xu
- Masahiro Kaneko
- Yu Wang
- Shankar Kumar
Papers from Christopher Bryant's perspective
Ordered by how strongly the researchers Christopher Bryant trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- The CoNLL-2014 Shared Task on Grammatical Error Correction (2014) — 580 citations
- The BEA-2019 Shared Task on Grammatical Error Correction (2019) — 378 citations
- The CoNLL-2013 Shared Task on Grammatical Error Correction (2013) — 354 citations
- Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction (2017) — 372 citations