Can an AI get into the University of Tokyo
By E. Strickland. 2013
8 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Science Applications, Information Systems and Management, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Clark
- Ashish Sabharwal
- Tushar Khot
- Daniel Khashabi
- Kyle Richardson
- Oyvind Tafjord
- Hannaneh Hajishirzi
- Chitta Baral
In Computer Science Applications
- Oren Etzioni
- Daniel Khashabi
- Tushar Khot
- Oyvind Tafjord
- Isaac Cowhey
- Carissa Schoenick
- Ashish Sabharwal
- Peter Clark
In Information Systems and Management
In Natural Language Processing
- Ashish Sabharwal
- Peter Clark
- Tushar Khot
- Daniel Khashabi
- Kyle Richardson
- Oyvind Tafjord
- Hannaneh Hajishirzi
- Chitta Baral
Citations in the corpus
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge (2018, methodology): “…based on human standardized tests have also been used in AI for several years (e.g. Clark et al., 2016; Seo et al., 2014; Fujita et al., 2014; Strickland, 2013), and as part of the NTCIR QALab (NII, 2017), and for the 2016 Allen AI Science Challenge described in the Introduction (Schoenick…”
- Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge! (2015, background): “, the Tokyo Entrance Exam (Strickland, 2013).”
- From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project (2019, methodology): “Under NII’s Todai project, several systems were developed for parts of the University of Tokyo Entrance Exam, including maths, physics, English, and history (Strickland, 2013; NII, 2013; Fujita et al., 2014), although in some cases questions were modified or annotated before being given to the syste”