Large Margin Nearest Neighbor Embedding for Knowledge Representation

来源 :第七届国际博士生论坛暨青年教师发展研讨会 | 被引量 : 0次 | 上传用户:heimacom
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  Traditional way of storing facts in triplets(head entity,relation,tail entity),abbreviated as(h,r,t),makes the knowledge intuitively displayed and easily acquired by mankind,but hardly computed or even reasoned by AI machines.Inspired by the success in applying Distributed Representations to AI-related fields,recent studies expect to represent each entity and relation with a unique low-dimensional embedding,which is different from the symbolic and atomic framework of displaying knowledge in triplets.
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