Emma Manning

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Natural Language Processing — 31 citations into it
• Evaluation & Benchmarks — 28 citations into it

Whom Emma Manning trusts overall

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

1. Matt Post
2. Michael Elhadad
3. Leonardo F. R. Ribeiro
4. Ioannis Konstas
5. Jie Zhu
6. Ehud Reiter
7. Maja Popovic
8. Salim Roukos
9. Claire Gardent
10. Alon Lavie

Papers from Emma Manning's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet classification with deep convolutional neural networks
10. Language Models are Unsupervised Multitask Learners

Their papers

• Underreporting of errors in NLG output, and what to do about it (2021) — 42 citations
• A Human Evaluation of AMR-to-English Generation Systems (2020) — 22 citations