Sudip Kumar Naskar
Natural Language Processing · 2013–2024
A researcher in the Science corpus: 7 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 67 citations into it; #4,678 of 5,688 by trust here, #4,983 by citations
- Artificial Intelligence — 59 citations into it; #29,989 of 35,345 by trust here, #28,481 by citations
- Evaluation & Benchmarks — 20 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Information Systems — 7 citations into it
- Large Language Models — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Sudip Kumar Naskar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Joseph Och
- Philipp Koehn
- Kenneth Heafield
- Matthew G. Snover
- Hermann Ney
- Alon Lavie
- Andreas Stolcke
- Colin Cherry
- Hany Hassan
- Sugato Basu
Who trusts Sudip Kumar Naskar overall
Papers from Sudip Kumar Naskar's perspective
Ordered by how strongly the researchers Sudip Kumar Naskar 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)
- Long Short-Term Memory
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- ImageNet classification with deep convolutional neural networks
- 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
- USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System (2015) — 17 citations
- Experimenting with Multi-modal Information to Predict Success of Indian IPOs (2024)
- Solving Arithmetic Mathematical Word Problems: A Review and Recent Advancements (2017) — 25 citations
- JU-USAAR: A Domain Adaptive MT System (2016)
- UdS-Sant: English–German Hybrid Machine Translation System (2015) — 14 citations
- A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation (2013) — 16 citations
- Predicting Ratings of Indian IPOs from Red Herring Prospectus