Santanu Pal
Natural Language Processing · 2013–2021
A researcher in the Science corpus: 9 papers; trusts 74 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 167 citations into it; #2,916 of 5,688 by trust here, #1,779 by citations
- Artificial Intelligence — 161 citations into it; #14,179 of 35,345 by trust here, #6,468 by citations
- Evaluation & Benchmarks — 97 citations into it
- Computer Vision and Pattern Recognition — 44 citations into it
- Machine Translation — 15 citations into it; #87 of 292 by trust here, #96 by citations
- Information Systems — 13 citations into it
- Optimization & Training — 11 citations into it
- Large Language Models — 10 citations into it
Whom Santanu Pal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Joseph Och
- Philipp Koehn
- Kenneth Heafield
- Andreas Stolcke
- Alon Lavie
- Matthew G. Snover
- Colin Cherry
- Michel Simard
- Hermann Ney
- Michel Galley
Who trusts Santanu Pal overall
- Ondrej Bojar
- Koushik Pahari
- Rajen Chatterjee
- Josef van Genabith
- Sudip Kumar Naskar
- Christian Federmann
- Alapan Kuila
- Shamil Chollampatt
- Marcos Zampieri
- Barry Haddow
Papers from Santanu Pal's perspective
Ordered by how strongly the researchers Santanu Pal trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
Their papers
- Findings of the 2019 Conference on Machine Translation (WMT19) (2019) — 630 citations
- Findings of the 2020 Conference on Machine Translation (WMT20) (2020) — 316 citations
- USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing (2016) — 18 citations
- USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015) — 17 citations
- Findings of the 2021 Conference on Machine Translation (WMT21) (2021) — 244 citations
- JU-USAAR: A Domain Adaptive MT System (2016)
- UdS-Sant: English–German Hybrid Machine Translation System (2015) — 14 citations
- Manawi: Using Multi-Word Expressions and Named Entities to Improve Machine Translation (2014) — 26 citations
- A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation (2013) — 16 citations