Motoki Sato
Master's course student at NAIST (2016.04 - 2018.03)
Preferred Networks Inc. (Link),
Japan
sato.motoki.sa7 [at] is.naist.jp
- Twitter
- Github
- Blog
Research Interests
- Natural Language Processing (NLP)
- Adversarial Training
- Interpretability for Neural Network
- QA, Dialog Systems
- Word Segmentation, Named Entity Recognition
Publications
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Motoki Sato, Jun Suzuki, Shun Kiyono, "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019 (Short Paper) (Accept rate 18.2%) [Paper, bibtex, Code, Slide ]
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Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto, "Interpretable Adversarial Perturbation in Input Embedding Space for Text", IJCAI-ECAI-2018 (Long Paper) [Paper, bibtex, Code, arxiv, Slide]
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Motoki Sato, Hiroki Ouchi, Yuta Tsuboi, "Addressee and Response Selection for Multilingual Conversation", COLING-2018 (Long Paper) [Paper, Code, Dataset, Project page]
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Motoki Sato, Hiroyuki Shindo, Ikuya Yamada, Yuji Matsumoto, "Segment-Level Neural Conditional Random Fields for Named Entity Recognition", IJCNLP 2017 (Short Paper) [Paper]
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Motoki Sato, Hitoshi Manabe, Hiroshi Noji, Yuji Matsumoto, "Adversarial Training for Cross-Domain Universal Dependency Parsing", CoNLL 2017, (Ranked 6th in the Shared Task) [Paper] [Poster]
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Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Y. Goulermas, Jun'ichi Tsujii and Sophia Ananiadou, "Distributed Document and Phrase Co-embeddings for Descriptive Clustering", EACL 2017 (Long Paper) [Paper] [bib]
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Ikuya Yamada, Motoki Sato, Hiroyuki Shindo: "Ensemble of Neural Classifiers for Scoring Knowledge Base Triples", WSDM Cup 2017 (Ranked 2nd in the competition) [News] [Paper]
Publications(Japanese)
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佐藤元紀,鈴木潤,進藤裕之,松本裕治,"自然言語処理における解釈可能な敵対的摂動の学習", NLP2018 [Paper, Slide, 若手奨励賞]
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佐藤元紀, 大内啓樹, 坪井祐太, "多言語対話における応答先と応答内容の選択", NLP 2018 [Paper, Slide]
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Motoki Sato, Takayuki Ito, "Text Filtering for Harmful Document Classification Method Based on Paragraph Vector and Multi Layer Perceptron" (Japanese Paper), IPSJ 2015 [Student Award]
Skillset
- Machine Learning (Python)
- Web Applications (PHP, Ruby, MySQL, CSS, HTML)
- iOS Applications (Objective-C)
Education
M.S. – Nara Institute of Science and Technology, April 2016 - March 2018.
B.S. – Nagoya Institute of Technology, April 2011 - March 2015.