Bio
I am currently a postdoctoral researcher at RIKEN. I am usually found in Machine Intelligence Laboratory at Komaba 2nd Campus of the University of Tokyo.
My research interests include natural language processing for health care, summarization, fact-checking, and text quality estimation.
Publications
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia PDF Code
Kenichiro Ando, Satoshi Sekine, Mamoru Komachi
[AAAI 24] The 38th Annual AAAI Conference on Artificial Intelligence, Main track
Is Artificial Intelligence Capable of Generating Hospital Discharge Summaries from Inpatient Records? PDF
Kenichiro Ando, Takashi Okumura, Mamoru Komachi, Hiromasa Horiguchi, Yuji Matsumoto
PLOS Digital Health (2022)
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? PDF Slides
Kenichiro Ando, Mamoru Komachi, Takashi Okumura, Hiromasa Horiguchi, Yuji Matsumoto
[TAAI 2022] The 27th International Conference on Technologies and Applications of Artificial Intelligence Best Paper Award🏆
Resume
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The University of Tokyo 2023.06 - currentVisiting Research Fellow
Machine Intelligence Lab -
RIKEN AIP 2023.05 - currentPostdoctoral Researcher
Machine Intelligence for Medical Engineering Team -
Tokyo Metropolitan University 2023.04 - currentVisiting Researcher
Graduate School of System Design -
RIKEN AIP 2020.04 - 2022.03Part-time Researcher
Language Information Access Technology Team
(Advised by Satoshi Sekine) -
National Hospital Organization 2020.01 - 2024.03Part-time Researcher
Work for Clinical Data Analysis -
RIKEN AIP 2018.06 - 2020.03Part-time Researcher
Knowledge Acquisition Team
(Advised by Yuji Matsumoto) -
Tokyo Metropolitan University 2018.04 - 2023.03Ph.D.
Advised by Mamoru Komachi (Computer linguistic lab)
Thesis: Automatic Discharge Summary Generation using Neural
Network Models -
JAIST 2016.04 - 2018.03Master
Advised by Kiyoaki Shirai (Natual language processing lab)
Master's thesis: Extracting and Classifying Text about Business in
Website of Company. -
Toyo University 2012.04 - 2016.03Bachelor
Advised by Kazunori Kato (Molecular cell biomedical lab)
Senior thesis: Characterization of Colorectal Cancer Cells Resistant
to Anticancer Drug 5-fluorouracil.
Grants
Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists, Japan Society for the Promotion of Science, Apr 2024 - Mar 2028 (¥1,170,000 × 4 years)
- Method for Practical Automated Essay Scoring Using Quality-Labeled External Data
Awards
Best paper award, The 27th International Conference on Technologies and Applications of Artificial Intelligence, Dec 2022
Acknowledgement
This website uses the website design and template by Martin Saveski and Tatsunori Hashimoto