Daniel Quernheim

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Daniel Quernheim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kenneth Heafield
2. Franz Joseph Och
3. Liang Huang
4. David Chiang
5. Slav Petrov
6. Matthew G. Snover
7. Salim Roukos
8. Bonnie J. Dorr
9. Leon Barrett
10. Chris Dyer

Papers from Daniel Quernheim's perspective

Ordered by how strongly the researchers Daniel Quernheim trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Exact Decoding with Multi Bottom-Up Tree Transducers (2015)
• Large-scale Exact Decoding: The IMS-TTT submission to WMT14 (2014) — 4 citations