Kenichiro Ando

Postdoctoral reseacher

kenichiro.ando [AT] riken.jp

[日本語ページ]

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🏆

Exploring the Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan PDF Demo

Kenichiro Ando, Takashi Okumura, Mamoru Komachi, Hiromasa Horiguchi, Yuji Matsumoto

PLOS Digital Health (2022)

Wikipediaにおける文の品質推定のための大規模データセット PDF

安道健一郎 , 関根聡 , 小町守

言語処理学会第29回年次大会

診療録解析のための文のセグメント分割と意味ラベル付与 PDF

安道 健一郎 , 奥村 貴史, 小町 守, 堀口裕正, 松本 裕治

情報処理学会第246回自然言語処理研究会

Wikipediaにおける読者属性を考慮した引用要否の分析 PDF

安道 健一郎 , 関根聡, 小町 守

情報処理学会第245回自然言語処理研究会

確信度に基づく退院時サマリの分析 PDF

安道 健一郎 , 奥村 貴史, 小町 守, 松本 裕治

情報処理学会第240回自然言語処理研究会

企業ウェブページからの業種情報の抽出と分類 PDF

安道健一郎, 白井清昭

自然言語処理学会 第24回年次大会

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

Resume

  • The University of Tokyo 2023.06 - current
    Visiting Research Fellow
    Machine Intelligence Lab
  • RIKEN AIP 2023.05 - current
    Postdoctoral Researcher
    Machine Intelligence for Medical Engineering Team
  • Tokyo Metropolitan University 2023.04 - current
    Visiting Researcher
    Graduate School of System Design
  • RIKEN AIP 2020.04 - 2022.03
    Part-time Researcher
    Language Information Access Technology Team
    (Advised by Satoshi Sekine)
  • National Hospital Organization 2020.01 - 2024.03
    Part-time Researcher
    Work for Clinical Data Analysis
  • RIKEN AIP 2018.06 - 2020.03
    Part-time Researcher
    Knowledge Acquisition Team
    (Advised by Yuji Matsumoto)
  • Tokyo Metropolitan University 2018.04 - 2023.03
    Ph.D.
    Advised by Mamoru Komachi (Computer linguistic lab)
    Thesis: Automatic Discharge Summary Generation using Neural
          Network Models
  • JAIST 2016.04 - 2018.03
    Master
    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 - 2016.03
    Bachelor
    Advised by Kazunori Kato (Molecular cell biomedical lab)
    Senior thesis: Characterization of Colorectal Cancer Cells Resistant
            to Anticancer Drug 5-fluorouracil.

Acknowledgement

This website uses the website design and template by Martin Saveski and Tatsunori Hashimoto