Andy Way
Natural Language Processing · 2004–2019
A researcher in the Science corpus: 16 papers; trusts 351 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 197 citations into it; #1,483 of 5,688 by trust here, #1,735 by citations
- Artificial Intelligence — 181 citations into it; #5,486 of 35,345 by trust here, #7,413 by citations
- Computer Vision and Pattern Recognition — 68 citations into it; #12,111 of 21,575 by trust here, #10,154 by citations
- Evaluation & Benchmarks — 57 citations into it
- Model Architectures — 28 citations into it
- Machine Translation — 23 citations into it; #50 of 292 by trust here, #150 by citations
- Molecular Biology — 16 citations into it; #7,095 of 17,773 by trust here, #16,150 by citations
- Optimization & Training — 9 citations into it
Whom Andy Way trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Ergun Biçici
- Yoshua Bengio
- Ilya Sutskever
- Rico Sennrich
- Franz Joseph Och
- Kyunghyun Cho
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Michael Collins
Who trusts Andy Way overall
- Ergun Biçici
- Ondrej Bojar
- Miquel Esplà-Gomis
- Lucia Specia
- Felix Stahlberg
- Kellie Webster
- Chris Hokamp
- Qun Liu
- Yonatan Belinkov
- Carolina Scarton
Papers from Andy Way's perspective
Ordered by how strongly the researchers Andy Way trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- The DCU-ICTCAS MT system at WMT 2014 on German-English Translation Task (2014) — 9 citations
- Exploiting Cross-Sentence Context for Neural Machine Translation (2017) — 209 citations
- Investigating Backtranslation in Neural Machine Translation (2018) — 154 citations
- DCU Terminology Translation System for Medical Query Subtask at WMT14 (2014) — 5 citations
- Getting Gender Right in Neural Machine Translation (2019) — 217 citations
- Referential translation machines for predicting semantic similarity (2015) — 16 citations
- Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism (2018) — 27 citations
- Investigating ‘Aspect’ in NMT and SMT: Translating the English Simple Past and Present Perfect (2017) — 22 citations
- Using Images to Improve Machine-Translating E-Commerce Product Listings. (2017) — 27 citations
- Pinyin as Subword Unit for Chinese-Sourced Neural Machine Translation (2017) — 23 citations
- Referential Translation Machines for Predicting Translation Quality and Related Statistics (2015) — 13 citations
- DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation task (2014)
- Parallel FDA5 for Fast Deployment of Accurate Statistical Machine Translation Systems (2014) — 17 citations
- Referential Translation Machines for Predicting Translation Quality (2014) — 25 citations
- Translation Task : Two-step Data Selection and RBMT-Style Synthetic Rules (2014)
- Computational Linguistics: Book Review (2004) — 123 citations