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Translating Embeddings for Modeling Multi-relational Data

Translating Embeddings for ModelingMulti- relational DataAntoine Bordes, Nicolas Usunier, Alberto Garcia-Dur anUniversit e de Technologie de Compi`egne CNRSH eudiasyc UMR 7253 Compi`egne, France{bordesan, nusunier, Weston, Oksana YakhnenkoGoogle111 8th avenueNew York, NY, USA{jweston, consider the problem of embedding entities and relationships of Multi-relational data in low-dimensional vector spaces. Our objective is to propose acanonical model which is easy to train, contains a reduced number of parametersand can scale up to very large databases.}}

relational data, most existing methods for multi-relational data have been designed within the frame-work of relational learning from latent attributes, as pointed out by [6]; that is, by learning and operating on latent representations (or embeddings) of …

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