Stephen Hood

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 15 citations into it; #5,176 of 5,688 by trust here, #4,793 by citations

Whom Stephen Hood trusts overall

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

1. Chin-Yew Lin

Who trusts Stephen Hood overall

1. Elizabeth Clark

Papers from Stephen Hood's perspective

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

1. Language Models are Unsupervised Multitask Learners
2. Attention is All you Need (Neural Information Processing Systems)
3. The Curious Case of Neural Text Degeneration
4. ImageNet classification with deep convolutional neural networks
5. Latent Dirichlet Allocation
6. Long Short-Term Memory
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ROUGE: A Package for Automatic Evaluation of Summaries
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation (2020) — 98 citations