The Todai Robot Project aims at integrating various AI technologies including natural language processing (NLP), as well as uncovering novel AI problems that have been missed while the fragmentation of the research field, through the development of software systems that solve university entrance exam problems. Being primarily designed for the measurement of human intellectual abilities, university entrance exam problems serve as an ideal benchmark for AI technologies. They also enable a quantitative comparison between the AI systems and human test takers. This paper analyzes the errors made by the software systems on the mock university entrance exams hosted by a popular preparatory school. Based on the analyses, key problems towards higher system performances and the current issues in the field of NLP are discussed.
CITATION STYLE
Matsuzaki, T., Yokono, H., Miyao, Y., Kawazoe, A., Kano, Y., Kanou, H., … H. Arai, N. (2016). The Todai Robot Project: Error Analysis on the Results of the Yozemi Center Test. Journal of Natural Language Processing, 23(1), 119–159. https://doi.org/10.5715/jnlp.23.119
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