Type-Constrained Representation Learning in Knowledge Graphs

Abstract

Large knowledge graphs increasingly add value to various applications that require machines to recognize and understand queries and their semantics, as in search or question answering systems. Latent variable models have increasingly gained attention for the statistical modeling of knowledge graphs, showing promising results in tasks related to knowledge… (More)
DOI: 10.1007/978-3-319-25007-6_37
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