Jacopo Amidei

Statistics and Probability · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it
• Artificial Intelligence — 13 citations into it; #17,404 of 35,345 by trust here, #23,077 by citations
• Evaluation & Benchmarks — 13 citations into it; #1,437 of 3,147 by trust here, #2,275 by citations
• Natural Language Processing — 12 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Jacopo Amidei trusts overall

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

1. Klaus Krippendorff
2. J. Fleiss
3. Geoff Norman
4. Kultar Singh
5. Julian J. Faraway
6. Spencer E. Harpe
7. Daniel M. McNeish
8. Albert Gatt
9. J. Landis
10. Ron Artstein

Who trusts Jacopo Amidei overall

1. Elizabeth Clark
2. Cheng-Han Chiang
3. Asli Celikyilmaz
4. Neslihan Iskender
5. Chris van der Lee
6. Hung-yi Lee
7. Pei Zhou
8. Sebastian Gehrmann
9. Tim Polzehl
10. Jianfeng Gao

Papers from Jacopo Amidei's perspective

Ordered by how strongly the researchers Jacopo Amidei 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. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations (2019) — 61 citations
• Agreement is overrated: A plea for correlation to assess human evaluation reliability (2019) — 45 citations
• Rethinking the Agreement in Human Evaluation Tasks (2018) — 54 citations