Felipe Sánchez-Martínez

Natural Language Processing · 2011–2016

A researcher in the Science corpus: 7 papers; trusts 49 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 38 citations into it
• Artificial Intelligence — 28 citations into it; #34,104 of 35,345 by trust here, #25,809 by citations
• Evaluation & Benchmarks — 22 citations into it
• Machine Translation — 10 citations into it; #195 of 292 by trust here, #206 by citations
• Optimization & Training — 5 citations into it

Whom Felipe Sánchez-Martínez trusts overall

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

1. Philipp Koehn
2. Katherine L. Silversides
3. Ergun Biçici
4. George A. Miller
5. Franz Joseph Och
6. Mark A. Hall
7. Shigeo Abe
8. Peter F. Brown
9. James Bergstra
10. José G. C. de Souza

Who trusts Felipe Sánchez-Martínez overall

1. Varvara Logacheva

Papers from Felipe Sánchez-Martínez's perspective

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

Their papers

• UAlacant word-level and phrase-level machine translation quality estimation systems at WMT 2016 (2016) — 3 citations
• UAlacant word-level machine translation quality estimation system at WMT 2015 (2015) — 11 citations
• Using on-line available sources of bilingual information for word-level machine translation quality estimation (2015) — 9 citations
• Using on-line available sources of bilingual information for word-level machine translation quality estimation (2015)
• The UA-Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation (2014) — 5 citations
• Translation Task : Two-step Data Selection and RBMT-Style Synthetic Rules (2014)
• Apertium: a free/open-source platform for rule-based machine translation (2011) — 419 citations