Lane Schwartz

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it
• Artificial Intelligence — 18 citations into it

Whom Lane Schwartz trusts overall

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

1. Philipp Koehn
2. Ondrej Bojar
3. Andreas Stolcke
4. Peter F. Brown
5. Kenneth Heafield
6. Franz Joseph Och
7. Slava M. Katz
8. Christopher D. Manning
9. Mark Hopkins
10. Qin Gao

Who trusts Lane Schwartz overall

1. Jeremy Gwinnup

Papers from Lane Schwartz's perspective

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

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

Their papers

• The University of Illinois submission to the WMT 2015 Shared Translation Task (2015)
• Machine Translation and Monolingual Postediting: The AFRL WMT-14 System (2014) — 17 citations