Quantum-enhanced causal discovery for a small number of samples

no code implementations • 9 Jan 2025 • Yota Maeda, Ken Arai, Yu Tanaka, Yu Terada, Hiroshi Ueno, Hiroyuki Tezuka

Based on the independence conditional tests in a class of reproducing kernel Hilbert spaces characterized by quantum circuits, the proposed qPC algorithm can explore causal relationships from the observed data drawn from arbitrary distributions.

Causal Discovery Epidemiology

A System for Worldwide COVID-19 Information Aggregation

no code implementations • EMNLP (NLP-COVID19) 2020 • Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong

The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.

Machine Translation Translation

Building a Japanese Typo Dataset from Wikipedia's Revision History

no code implementations • ACL 2020 • Yu Tanaka, Yugo Murawaki, Daisuke Kawahara, Sadao Kurohashi

User generated texts contain many typos for which correction is necessary for NLP systems to work.