Stephan Vogel

Natural Language Processing · 1996–2017

A researcher in the Science corpus: 7 papers; trusts 45 researchers and is trusted by 161 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 59 citations into it; #411 of 5,688 by trust here, #1,111 by citations
• Artificial Intelligence — 56 citations into it; #2,364 of 35,345 by trust here, #9,465 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #21,307 of 21,575 by trust here, #18,266 by citations
• Machine Translation — 8 citations into it; #255 of 292 by trust here, #206 by citations
• Evaluation & Benchmarks — 7 citations into it

Whom Stephan Vogel trusts overall

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

1. Frederick Jelinek
2. Rico Sennrich
3. Franz Joseph Och
4. Hermann Ney
5. Philipp Koehn
6. Nadir Durrani
7. Peter F. Brown
8. Helmut Schmid
9. Barry Haddow
10. Diederik P. Kingma

Who trusts Stephan Vogel overall

1. Alexander M. Fraser
2. Franz Joseph Och
3. José G. C. de Souza
4. Chris Quirk
5. Marcin Junczys-Dowmunt
6. Graham Neubig
7. Zi-Yi Dou
8. Rajen Chatterjee
9. Ondrej Bojar
10. Mariano Felice

Papers from Stephan Vogel's perspective

Ordered by how strongly the researchers Stephan Vogel 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. ImageNet classification with deep convolutional neural networks
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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

• Parallel Implementations of Word Alignment Tool (2008) — 407 citations
• Neural Machine Translation Training in a Multi-Domain Scenario (2017) — 47 citations
• Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging (2017) — 30 citations
• Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder (2017) — 60 citations
• Crisis MT: Developing A Cookbook for MT in Crisis Situations (2011) — 62 citations
• Accelerated DP based search for statistical translation (1997)
• HMM-Based Word Alignment in Statistical Translation (1996)