Antonio Toral

Natural Language Processing · 2014–2019

A researcher in the Science corpus: 6 papers; trusts 110 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 84 citations into it
• Artificial Intelligence — 78 citations into it; #14,231 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #17,975 of 21,575 by trust here, #15,529 by citations
• Evaluation & Benchmarks — 23 citations into it; #2,513 of 3,147 by trust here, #2,627 by citations
• Model Architectures — 13 citations into it
• Machine Translation — 5 citations into it; #210 of 292 by trust here, #182 by citations
• Optimization & Training — 5 citations into it

Whom Antonio Toral trusts overall

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

1. Rico Sennrich
2. Philipp Koehn
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Kyunghyun Cho
6. Barry Haddow
7. Maja Popovic
8. Geoffrey E. Hinton
9. Matthew G. Snover
10. Diederik P. Kingma

Who trusts Antonio Toral overall

1. Maja Popovic
2. Felix Stahlberg
3. Philipp Koehn
4. Yonatan Belinkov
5. Margaret Mitchell
6. Duygu Ataman
7. Marianna J. Martindale
8. Fahim Dalvi
9. Jinhua Du
10. Nadir Durrani

Papers from Antonio Toral's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions (2017) — 161 citations
• Linguistically-augmented perplexity-based data selection for language models (2015) — 19 citations
• Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data (2019) — 12 citations
• Abu-MaTran at WMT 2016 Translation Task: Deep Learning, Morphological Segmentation and Tuning on Character Sequences (2016) — 26 citations
• Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling (2015) — 13 citations
• Translation Task : Two-step Data Selection and RBMT-Style Synthetic Rules (2014)