Probabilistic Belief Embedding for Large-Scale Knowledge Population-Reference-Cited by-同舟云学术

Probabilistic Belief Embedding for Large-Scale Knowledge Population

Published:2016-08-08 Issue:6 Volume:8 Page:1087-1102
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Fan Miao,Zhou Qiang,Abel Andrew,Zheng Thomas Fang,Grishman Ralph

Funder

National Program on Key Basic Research Project (973 Program)

National Science Foundation of China (NSFC)

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s12559-016-9425-5.pdf

Reference37 articles.

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3. Bordes A, Glorot X, Weston J, Bengio Y. A semantic matching energy function for learning with multi-relational data. Mach Learn. 2014;94(2):233–5910. doi: 10.1007/s10994-013-5363-6 .

4. Bordes A, Usunier N, Garcia-Duran A, Weston J, Yakhnenko O. Translating embeddings for modeling multi-relational data. In: Advances in neural information processing systems, 2013. p. 2787–95.

5. Bordes A, Weston J, Collobert R, Bengio Y, et al. Learning structured embeddings of knowledge bases. In: AAAI 2011. http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/viewPDFInterstitial/3659/3898 .

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