John Lawrence

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #33,502 of 35,345 by trust here, #34,943 by citations
• Natural Language Processing — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Information Systems — 5 citations into it

Whom John Lawrence trusts overall

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

1. Christian Stab
2. Henry Prakken
3. Iryna Gurevych
4. David D. Lewis
5. Raquel Mochales Palau
6. Marie-Francine Moens
7. Chris Reed
8. Corinna Cortes
9. Radu Soricut
10. J. Landis

Who trusts John Lawrence overall

1. Saif M. Mohammad

Papers from John Lawrence's perspective

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

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

Their papers

• Argument Mining: A Survey (2020) — 560 citations