Rajen Chatterjee

Natural Language Processing · 2014–2021

A researcher in the Science corpus: 9 papers; trusts 70 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 253 citations into it; #4,501 of 5,688 by trust here, #937 by citations
• Artificial Intelligence — 245 citations into it; #10,915 of 35,345 by trust here, #2,630 by citations
• Evaluation & Benchmarks — 139 citations into it; #1,545 of 3,147 by trust here, #392 by citations
• Machine Translation — 63 citations into it; #166 of 292 by trust here, #18 by citations
• Computer Vision and Pattern Recognition — 43 citations into it
• Information Systems — 19 citations into it
• Statistics and Probability — 10 citations into it
• Large Language Models — 9 citations into it

Whom Rajen Chatterjee trusts overall

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

1. Philipp Koehn
2. Franz Joseph Och
3. Kenneth Heafield
4. Matthew G. Snover
5. Qin Gao
6. Ondrej Bojar
7. Michel Simard
8. Chris Callison-Burch
9. Yvette Graham
10. Lucia Specia

Who trusts Rajen Chatterjee overall

1. Ondrej Bojar
2. Markus Freitag
3. Philipp Koehn
4. Keisuke Sakaguchi
5. Jindřich Libovický
6. Marcin Junczys-Dowmunt
7. Varvara Logacheva
8. Matteo Negri
9. Christian Federmann
10. Shamil Chollampatt

Papers from Rajen Chatterjee's perspective

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

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

Their papers

• Findings of the 2016 Conference on Machine Translation (2016) — 838 citations
• Findings of the 2017 Conference on Machine Translation (WMT17) (2017) — 543 citations
• Findings of the 2015 Workshop on Statistical Machine Translation (2015) — 344 citations
• Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing (2015) — 58 citations
• Findings of the WMT 2020 Shared Task on Automatic Post-Editing (2020) — 37 citations
• The FBK Participation in the WMT15 Automatic Post-editing Shared Task (2015) — 32 citations
• The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task (2016) — 10 citations
• Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
• The IIT Bombay Hindi-English Translation System at WMT 2014 (2014) — 34 citations