José G. C. de Souza
Natural Language Processing · with Negri · 2013–2015
A researcher in the Science corpus: 6 papers; trusts 40 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 44 citations into it; #1,573 of 5,688 by trust here, #3,053 by citations
- Artificial Intelligence — 38 citations into it; #16,390 of 35,345 by trust here, #18,586 by citations
- Evaluation & Benchmarks — 32 citations into it; #910 of 3,147 by trust here, #1,990 by citations
- Optimization & Training — 8 citations into it
- Statistical Learning Theory — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom José G. C. de Souza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew G. Snover
- Philipp Koehn
- Stephan Vogel
- Qin Gao
- Chris Callison-Burch
- James Bergstra
- Bonnie J. Dorr
- Yoshua Bengio
- R. Caruana
- Andreas Stolcke
Who trusts José G. C. de Souza overall
- Lucia Specia
- Ondrej Bojar
- Varvara Logacheva
- Miquel Esplà-Gomis
- Rajen Chatterjee
- Carolina Scarton
- Kashif Shah
- Christian Buck
- Philipp Koehn
- Christian Federmann
Papers from José G. C. de Souza's perspective
Ordered by how strongly the researchers José G. C. de Souza trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- ImageNet: A large-scale hierarchical image database
Their papers
- The FBK Participation in the WMT15 Automatic Post-editing Shared Task (2015) — 32 citations
- Online Multitask Learning for Machine Translation Quality Estimation (2015) — 25 citations
- FBK-UPV-UEdin participation in the WMT14 Quality Estimation shared-task (2014) — 53 citations
- FBK-UEdin Participation to the WMT13 Quality Estimation Shared Task (2013) — 39 citations
- Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks (2013) — 14 citations
- QuEst - A translation quality estimation framework (2013) — 238 citations