Greg Hanneman

Natural Language Processing · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it; #3,040 of 5,688 by trust here, #5,092 by citations
• Artificial Intelligence — 15 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Greg Hanneman trusts overall

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

1. Franz Joseph Och
2. Andreas Stolcke
3. David Chiang
4. Kenneth Heafield
5. Philipp Koehn
6. Michael J. Denkowski
7. Daniel Klein
8. Stanley F. Chen
9. Shankar Kumar
10. Qin Gao

Who trusts Greg Hanneman overall

1. Viktor Hangya
2. Huda Khayrallah
3. Boliang Zhang
4. Jun Lu

Papers from Greg Hanneman's perspective

Ordered by how strongly the researchers Greg Hanneman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet classification with deep convolutional neural networks
9. An Empirical Study of Smoothing Techniques for Language Modeling
10. Minimum Error Rate Training in Statistical Machine Translation

Their papers

• The CMU Machine Translation Systems at WMT 2014 (2014) — 14 citations
• The CMU-Avenue French-English Translation System (2012) — 25 citations