Ana C. Farinha

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #13,738 of 35,345 by trust here, #13,760 by citations
• Natural Language Processing — 47 citations into it; #2,743 of 5,688 by trust here, #3,107 by citations
• Evaluation & Benchmarks — 40 citations into it; #1,373 of 3,147 by trust here, #1,895 by citations
• Representation & Self-Supervised Learning — 8 citations into it

Whom Ana C. Farinha trusts overall

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

1. Yvette Graham
2. Ondrej Bojar
3. Maja Popovic
4. Qingsong Ma
5. D. Kondratyuk
6. Matthew G. Snover
7. Tomas Mikolov
8. Ilya Sutskever
9. Thibault Sellam
10. Jacob Devlin

Who trusts Ana C. Farinha overall

1. Ricardo Rei
2. Markus Freitag
3. Tom Kocmi
4. Sebastian Gehrmann
5. Rachel Bawden

Papers from Ana C. Farinha's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Bleu: a Method for Automatic Evaluation of Machine Translation
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. GloVe: Global Vectors for Word Representation
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• COMET: A Neural Framework for MT Evaluation (2020) — 1,636 citations
• COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task (2022) — 503 citations