Noriko Arai received her doctoral degree in science from Tokyo Institute of Technology in 1998.
Her research interests are mathematical logic, math education and computer supported collaborative learning, and she has been serving as program committee members in many international conferences in these research areas.
As the director of the center of Research Center for Community Knowledge at National Institute of Informatics (Japan), she is leading several projects. Netcommons Project and Researchmap Project.
NetCommons is the most popular content management system used in Japanese schools. More than 5,000 schools are now using NetCommons as their homepages or groupwares. She leads an AI project "Can an AI pass the entrance exams of the University of Tokyo (Todai Robot Project" since 2011, and also "Reading Skill Test Project" which measures basic reading skills for youth.
She was awarded Prizes for Science and Technology, the Commendation for Science and Technology by Ministry of Education and Technology in 2010, and Nexplo Awards in 2016.
Todai Robot Project, Netexplo Award 2016, Netexplo
Apr 2010
Public Understanding Promotion Category, Prizes for Science and Technology, the Commendation for Science and Technology, The Ministry of Education, Culture, Sports, Science and Technology
Winner: Noriko H Arai,Ryuji Masukawa
Oct 2009
Japan Open Source Software Award, Information-Technology Promotion Agency, Japan
Winner: Noriko H Arai
Dec 2008
Nistep Award, National Institute of Science and Technology Policy
Winner: Noriko H Arai
Oct 2007
The winner of the 3rd International Software Competition (Beijing), IASTED
Jun 1985
Salma Wannna Award, The University of Illinois, Department of Mathematics
Winner: Noriko Honda
This award is given for exceptional performance in mathematics to a continuing junior, not necessarily a math major.
Takuya Matsuzaki,Takumi Ito,Hidenao Iwane,Hirokazu Anai,Noriko H. Arai
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers 2131-2141 2017 [Refereed]
Takuya Matsuzaki, Akira Fujita, Naoya Todo, Noriko H. Arai
Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC2016) May 2016 [Refereed]
This paper reports on an experiment where 795 human participants answered to the questions taken from second language proficiency tests that were translated to their native language. The output of three machine translation systems and two differen...
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, National Center of Sciences, Tokyo, Japan, June 7-10, 2016 2016 [Invited]
Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo -- without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises al...
Can A Robot Get Into the University of Tokyo?[Invited]
Noriko Arai
IB Global Conference 30 Mar 2017 国際バカロレア機構
An automated deduction and its implementation for solving problem of sequence at university entrance examination
Y. Wada, T. Matsuzaki, A. Terui, N.H. Arai
The 5th International Congress on Mathematical Software (ICMS 2016) 11 Jul 2016
[Media coverage cooperation] The New York Times (Asia, Pacific, International Education) 29 Dec 2013
Can AI robot pass Todai entrance examination?
[Informant] 読売新聞海外版 3 Nov 2013
Aiming to develop an artificial intelligence robot smart enough to pass a University of Tokyo entrance exam, a group of researchers has been working on a project to find out its standard score and ascertain its chances of entering the nation’s top...
Following
