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This paper tackles the problem of endogenous link prediction for Knowledge Base completion.
The detection of patterns in Alyawarra nonverbal behavior
Denham, W. (1973) · 1973
Earlier work this paper cites.
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Wang, Y. J., & Wong, G. Y. (1987) · 1987
Earlier work this paper cites.
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Knight, K., & Luk, S. K. (1994) · 1994
Earlier work this paper cites.
WordNet: a Lexical Database for English
Miller, G. (1995) · 1995
Earlier work this paper cites.
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McCray, A. T. (2003) · 2003
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Navigli, R., & Velardi, P. (2005) · 2005
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Kemp, C., Tenenbaum, J. B., Griffiths, T. L., Yamada, T., & Ueda, N. (2006) · 2006
Earlier work this paper cites.
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Knowledge graph and text jointly embedding
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Joint relational embeddings for knowledge-based question answering
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