Franck Burlot
Natural Language Processing · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 59 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 66 citations into it
- Artificial Intelligence — 64 citations into it; #16,847 of 35,345 by trust here, #17,412 by citations
- Evaluation & Benchmarks — 15 citations into it; #1,584 of 3,147 by trust here, #2,545 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Model Architectures — 12 citations into it
- Machine Translation — 11 citations into it; #115 of 292 by trust here, #168 by citations
- Large Language Models — 9 citations into it
Whom Franck Burlot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Kenneth Heafield
- George A. Miller
- Barry Haddow
- Alexandra Birch
- Hermann Ney
- Satanjeev Banerjee
- Kyunghyun Cho
- Yoshua Bengio
- Maja Popovic
Who trusts Franck Burlot overall
- Yonatan Belinkov
- James Thorne
- Rico Sennrich
- James R. Glass
- Andreas Vlachos
- Alexandra Birch
- Philipp Koehn
- Amit Moryossef
- Yiran Chen
Papers from Franck Burlot's perspective
Ordered by how strongly the researchers Franck Burlot trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Bleu: a Method for Automatic Evaluation of Machine Translation
- 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
Their papers
- Evaluating the morphological competence of Machine Translation Systems (2017) — 63 citations
- The QT21/HimL Combined Machine Translation System (2016) — 17 citations
- LIMSI@WMT’16: Machine Translation of News (2016) — 12 citations
- LIMSI@WMT’15 : Translation Task (2015) — 10 citations