Sadao Kurohashi
Natural Language Processing · 2010–2019
A researcher in the Science corpus: 11 papers; trusts 134 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 122 citations into it; #872 of 5,688 by trust here, #1,305 by citations
- Artificial Intelligence — 101 citations into it; #5,384 of 35,345 by trust here, #7,606 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #4,863 of 21,575 by trust here, #9,187 by citations
- Evaluation & Benchmarks — 29 citations into it; #1,223 of 3,147 by trust here, #1,574 by citations
- Model Architectures — 10 citations into it
- Machine Translation — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Sadao Kurohashi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Rico Sennrich
- Barret Zoph
- Yoshua Bengio
- Franz Joseph Och
- Kyunghyun Cho
- Ilya Sutskever
- Geoffrey E. Hinton
- Barry Haddow
- Dzmitry Bahdanau
Who trusts Sadao Kurohashi overall
- Raj Dabre
- Chenhui Chu
- Shuhao Gu
- Graham Neubig
- Richard Socher
- Yongfeng Zhang
- Yoon Kim
- Marlies van der Wees
- Zhilin Yang
- David Vilar
Papers from Sadao Kurohashi's perspective
Ordered by how strongly the researchers Sadao Kurohashi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- 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
- ImageNet: A large-scale hierarchical image database
Their papers
- An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation (2017) — 63 citations
- An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation (2017) — 240 citations
- Automatically Neutralizing Subjective Bias in Text (2019) — 207 citations
- Overview of the 5th Workshop on Asian Translation (2019) — 46 citations
- ASPEC: Asian Scientific Paper Excerpt Corpus (2016) — 224 citations
- Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages (2017) — 33 citations
- MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing (2017) — 14 citations
- Overview of the 4th Workshop on Asian Translation (2017) — 47 citations
- Integrated Parallel Sentence and Fragment Extraction from Comparable Corpora: A Case Study on Chinese--Japanese Wikipedia (2016) — 23 citations
- Overview of the 1st Workshop on Asian Translation (2014) — 76 citations
- Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables (2010) — 383 citations