A Semantic Matching Energy Function for Learning with Multi-relational Data

15 Jan 2013Xavier GlorotAntoine BordesJason WestonYoshua Bengio

Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from computational biology or information retrieval, to natural language processing. In this paper, we present a new neural network architecture designed to embed multi-relational graphs into a flexible continuous vector space in which the original data is kept and enhanced... (read more)

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