D. Jurafsky

Artificial Intelligence · 2000–2014

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Signal Processing — 27 citations into it
• Speech & Audio — 25 citations into it; #496 of 1,076 by trust here, #642 by citations
• Natural Language Processing — 23 citations into it; #2,360 of 5,688 by trust here, #3,282 by citations
• Optimization & Training — 16 citations into it
• Model Architectures — 12 citations into it

Whom D. Jurafsky trusts overall

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

1. Geoffrey E. Hinton
2. Andreas Stolcke
3. Shigeo Abe
4. Frederick Jelinek
5. Christopher D. Manning
6. George E. Dahl
7. Yoshua Bengio
8. Susannah Young
9. Ilya Sutskever
10. Alex Krizhevsky

Who trusts D. Jurafsky overall

1. Ruifang Ge
2. Shaodian Zhang
3. Gennadi Lembersky
4. Jan Chorowski
5. Iulian Serban
6. Kobus Barnard
7. Jiashuo Sun
8. Raymond J. Mooney
9. Noémie Elhadad
10. Noam Ordan

Papers from D. Jurafsky's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Building DNN acoustic models for large vocabulary speech recognition (2014) — 128 citations
• Speech and Language Processing, 2nd Edition (2008) — 109 citations
• Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (2000) — 917 citations