Causal knowledge extraction by natural language processing in material science: a case study in chemical vapor deposition

Yuya Kajikawa; Yoshihide Sugiyama; Hideki Mima; Katsumori Matsushima

doi:10.2481/dsj.5.108

Causal knowledge extraction by natural language processing in material science: a case study in chemical vapor deposition

Data Science Journal

Volume 5 (2006): Issue 0

By: Yuya Kajikawa, Yoshihide Sugiyama, Hideki Mima and Katsumori Matsushima

Open Access

|Nov 2006

Authors

Yuya Kajikawa

kaji@biz-model.t.u-tokyo.ac.jp

Institute of Engineering Innovation, School of Engineering, the University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8565, Japan

Yoshihide Sugiyama

info@ubiquitypress.com

Institute of Engineering Innovation, School of Engineering, the University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8565, Japan

Hideki Mima

info@ubiquitypress.com

Institute of Engineering Innovation, School of Engineering, the University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8565, Japan

Katsumori Matsushima

info@ubiquitypress.com

Institute of Engineering Innovation, School of Engineering, the University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8565, Japan

DOI: https://doi.org/10.2481/dsj.5.108 | Journal eISSN: 1683-1470

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Language: English

Published on: Nov 28, 2006

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Natural language processing,

Knowledge extraction,

Materials science,

Chemical vapor deposition,

Causality

© 2006 Yuya Kajikawa, Yoshihide Sugiyama, Hideki Mima, Katsumori Matsushima, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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