Kentaro Inui
Kentaro Inui (Ph.D.)
Title
Team Leader

Members

  • Team leader
    Kentaro Inui
  • Research scientist
    Benjamin Heinzerling
  • Technical staff I
    Yoriko Isobe
  • Technical staff I
    Mayumi Sugawara
  • Technical staff I
    Ana Brassard
  • Technical staff I
    Shota Sasaki
  • Visiting scientist
    Keisuke Sakaguchi
  • Visiting scientist
    Jun Suzuki
  • Visiting scientist
    Tomoya Mizumoto
  • Visiting scientist
    Manabu Okumura
  • Visiting scientist
    Ryo Nagata
  • Visiting scientist
    Tadashi Shibayama
  • Visiting scientist
    Masato Mita
  • Visiting scientist
    Naoya Inoue
  • Visiting scientist
    Yuichiro Matsubayashi
  • Visiting scientist
    Hitomi Yanaka
  • Visiting scientist
    P Saitostenetorp
  • Visiting scientist
    Reina Akama
  • Visiting scientist
    Akira Murakami
  • Visiting scientist
    Chihiro Nakagawa
  • Visiting scientist
    Diana Galvansosa
  • Visiting scientist
    Yutaka Ishii
  • Part-time worker I
    Kaori Abe
  • Part-time worker I
    Hiroaki Funayama
  • Part-time worker I
    Pride Kavumba
  • Part-time worker I
    Yuya Asazuma
  • Part-time worker I
    Goro Kobayashi
  • Part-time worker I
    Jungmin Choi
  • Part-time worker II
    Wenzhi Wang
  • Part-time worker II
    Masaki Sakata
  • Part-time worker II
    Steven Coyne

Introduction

Laboratory's photo

In recent years, research on natural language processing has developed greatly in parallel with the distribution of huge language data and advances in machine learning and deep learning. However, a number of breakthroughs are still necessary for developing artificial intelligence that "understands" a language. At the Natural Language Understanding Team, we will conduct research on fundamental technologies for understanding languages by computers through by creating new tasks for automatic assessment of human language activities, such as reviewing argumentation and descriptive responses in pedagogical contexts. We aim to extend upon the frontier of language processing in both basic research and applied research while collaborating with the Language Information Access Technology Team and other teams in the Generic Technology Research Group.

Main Research Field
Computer Science
Research Subjects
Natural Language Processing
Laboratory Website URL
https://aip-nlu.gitlab.io/
RIKEN Website URL
http://www.riken.jp/en/research/labs/aip/goalorient_tech/nat_lang_understand/

Introduction Video

Natural Language Understanding Team (PI: Kentaro.Inui) thumbnails
Show details

Poster(s)

Related posts

posted on December 14, 2022 18:57Information
Two papers have been accepted at EMNLP2022
posted on November 28, 2022 16:04Information
[In the media]The Quality Assurance Method for Automated Answer Scoring using AI technology("ONE MORNING", FM TOKYO, Nov. 14, 2022)
posted on October 6, 2022 19:01InterviewInformation
【Published】Close-up Science Road( RIKEN NEWS, Oct 3, 2022)
posted on September 29, 2022 16:59Information
[In the media] The Quality Assurance Method for Automated Short Answer Scoring using the AI technology (Nikkei Web, September 26, 2022)
posted on August 31, 2022 17:02Information
Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring (AIED2022)
posted on May 31, 2022 13:28Seminar
Natural Language Understanding Team Seminar (Talk by Zheng Yuan, King's College London)
posted on April 15, 2022 15:30InformationAward
【Updated】NLP2022 Award
posted on April 8, 2022 16:13InformationAward
FY2022 MEXT Science and Technology Award
posted on March 31, 2022 21:39InformationAward
NLP2022 Award
posted on February 22, 2022 15:29eventsSeminar
AI王 〜クイズAI日本一決定戦〜
posted on December 21, 2021 13:59Seminar
Natural Language Understanding Team Seminar (Talk by Kostiantyn Omelianchuk and Oleksandr Skurzhanskyi, Grammarly)
posted on November 15, 2021 16:31Information
EMNLP2021 Outstanding Reviewers
posted on September 28, 2021 15:43Information
[In the Media] “ Technologist Era, Automatic Scoring of Japanese Language Descriptions” (Nikkei morning edition, September 27, 2021)
posted on August 30, 2021 08:00Information
Seven papers have been accepted at EMNLP2021
posted on July 30, 2021 12:49Seminar
[40th AIP Open Seminar] Talks by Natural Language Understanding Team
posted on July 16, 2021 09:40InformationAward
Team Tohoku-AIP-NTT at WMT-2020 Won the FY2021 AAMT Nagao Award
posted on May 26, 2021 18:47InformationPressrelease
Text Assessment System Developed at RIKEN AIP Provides Automatic Scoring Functionality for Online Learning
posted on May 24, 2021 14:31Information
Eight Papers have been accepted at ACL 2021
posted on April 28, 2021 11:41Seminar
Natural Language Understanding Team Seminar (Talk by Dr. Christopher Bryant, University of Cambridge)
posted on January 26, 2021 15:17Information
Nine papers were accepted at ICLR 2021
posted on January 22, 2021 15:01Information
Minister of Education, Culture, Sports, Science and Technology HAGIUDA Koichi visits RIKEN Center for Advanced Intelligence Project
posted on November 16, 2020 15:03Information
Five papers have been accepted at EMNLP2020
posted on May 25, 2020 14:19Information
Papers were accepted at ACL 2020
posted on May 11, 2020 13:26Information
Research related to COVID-19
posted on December 5, 2019 09:30Information
Fourteen papers were accepted at AAAI-20
posted on September 9, 2019 09:10Information
Eight papers have been accepted at EMNLP2019
posted on May 30, 2019 11:30Award
Visiting Scientist Jun Suzuki won ICLR 2019 Outstanding Reviewers
posted on March 1, 2019 17:21Information
Papers are accepted at NAACL-HLT 2019
posted on December 5, 2018 17:15Information
Team Leader Inui has been appointed to be General Chair for EMNLP-IJCNLP 2019
posted on November 16, 2018 17:18Information
Thirteen papers have been accepted at AAAI-19