Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion

25 Aug 2018Hitoshi ManabeKatsuhiko HayashiMasashi Shimbo

Embedding-based methods for knowledge base completion (KBC) learn representations of entities and relations in a vector space, along with the scoring function to estimate the likelihood of relations between entities. The learnable class of scoring functions is designed to be expressive enough to cover a variety of real-world relations, but this expressive comes at the cost of an increased number of parameters... (read more)

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