Mariano Felice
Natural Language Processing · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 39 citations into it; #1,927 of 5,688 by trust here, #3,977 by citations
- Artificial Intelligence — 31 citations into it; #5,655 of 35,345 by trust here, #14,181 by citations
- Evaluation & Benchmarks — 21 citations into it; #1,842 of 3,147 by trust here, #2,482 by citations
- Language and Linguistics — 11 citations into it
- Education — 8 citations into it
- Literature and Literary Theory — 6 citations into it
Whom Mariano Felice trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hwee Tou Ng
- Daniel Dahlmeier
- Ted Briscoe
- George A. Miller
- Huaiyu Zhu
- Jianhua Lin
- Michael Elhadad
- Philipp Koehn
- Franz Joseph Och
- Stanley F. Chen
Who trusts Mariano Felice overall
- Roman Grundkiewicz
- Ziang Xie
- Marcin Junczys-Dowmunt
- Tao Ge
- Felix Stahlberg
- Zhaohong Wan
- Kenneth Heafield
- Adriane Boyd
- Yo Joong Choe
- Shuyao Xu
Papers from Mariano Felice's perspective
Ordered by how strongly the researchers Mariano Felice trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Their papers
- The BEA-2019 Shared Task on Grammatical Error Correction (2019) — 378 citations
- Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction (2017) — 372 citations
- Artificial error generation for translation-based grammatical error correction (2016) — 18 citations