An Automatic Knowledge Graph Creation Framework from Natural Language Text
Author:
Affiliation:
1. SOKENDAI (The Graduate University for Advanced Studies)
2. National Institute of Informatics
3. National Institute of Advanced Industrial Science and Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/1/E101.D_2017SWP0006/_pdf
Reference23 articles.
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3. [3] J. Hoffart, F.M. Suchanek, K. Berberich, and G. Weikum, “YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia,” Artificial Intelligence, vol.194, pp.28-61, 2013. 10.1016/j.artint.2012.06.001
4. [4] V. Kríž, B. Hladká, M. Nečasky, and T. Knap, “Data extraction using NLP techniques and its transformation to linked data,” Proc. 13th Mexican International Conference on Artificial Intelligence, Lecture Notes in Computer Science, vol.8856, pp.113-124, Springer, Cham, 2014. 10.1007/978-3-319-13647-9_13
5. [5] A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E.R. Hruschka Jr., and T.M. Mitchell, “Toward an architecture for never-ending language learning.,” Proc. Twenty-Fourth AAAI Conference on Artificial Intelligence, pp.1306-1313, 2010.
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