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KNOWLEDGE GRAPH ALIGNMENT WITH ENTITY EXPANSION POLICY NETWORK
KNOWLEDGE GRAPH ALIGNMENT WITH ENTITY EXPANSION POLICY NETWORK
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机译:与实体扩展策略网络的知识图对对齐
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摘要
A computer-implemented method is provided for cross-lingual knowledge graph alignment. The method includes formulating a credible aligned entity pair selection problem for cross-lingual knowledge graph alignment as a Markov decision problem having a state space, an action space, a state transition probability and a reward function. The method further includes calculating a reward for a language entity selection policy responsive to the reward function. The method also includes performing credible aligned entity selection by optimizing task-specific rewards from an alignment-oriented entity representation learning phrase. The method additionally includes providing selected entity pairs as augmented alignments to the representation learning phase.
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