(Under construction)

Contact information

Address Graduate School of Information Science
Nara Institute of Science and Technology
8916-5 Takayama, Ikoma, Nara 630-0192, Japan
Office location Information Science Bldg. A, Room A703
Phone +81 743 72 5241
Fax +81 743 72 5249
E-mail shimbo at is.naist.jp


2017 Quarter I - 130012 Artificial intelligence

Recent publications

T. Hamaguchi, H. Oiwa, M. Shimbo, and Y. Matsumoto. Knowledge transfer for out-of-knowledge-base entities: a graph neural network approach. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI '17): Main Track, pp. 1802-1808, Melbourne, Australia, 2017. To appear. Paper

K. Hayashi and M. Shimbo. On the equivalence of holographic and complex embeddings. In Proceedings of the 55th Annual Meeting of Association for Computational Linguistics (ACL '17): Short Papers, pp. 554-559, Vancouver, British Columbia, Canada, 2017. Paper | Poster.

Y. Shigeto, M. Shimbo, and Y. Matsumoto. A fast and easy regression technique for k-NN classification without using negative pairs. In Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '17), Part I, pp. 17-29, Jeju, Korea, 2017. Springer LNCS 10234. Publisher page.

F. Fouss, M. Saerens, and M. Shimbo. Algorithms and Models for Network Data and Link Analysis. Cambridge University Press, 2016. Publisher page.

M. Tsubaki, K. Duh, M. Shimbo, and Y. Matsumoto. Non-linear similarity learning for compositionality. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI '16), pp. 2828-2834, Phoenix, Arizona, USA, 2016. Paper.

Y. Shigeto, I. Suzuki, K. Hara, M. Shimbo, and Y. Matsumoto. Ridge regression, hubness, and zero-shot learning. In Proceedings of the 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD '15), Part I, pp. 135-151, Porto, Portugal, 2015. Springer LNCS 9284. Best student paper runner-up. Publisher page.

A. Yoshimoto, K. Hara, M. Shimbo, and Y. Matsumoto. Coordination-aware dependency parsing (preliminary report). In Proceedings of the 14th International Conference on Parsing Technologies (IWPT '15), pp. 66-70, Bilbao, the Basque Country, 2015.

K. Hara, I. Suzuki, M. Shimbo, K. Kobayashi, K. Fukumizu, and M. Radovanović. Localized centering: reducing hubness in large-sample data. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI '15), pp. 2645-2651, Austin, Texas, USA, 2015.