document: A unified framework for name disambiguation Name ambiguity problem has been a challenging issue for a long history . In this paper , we intend to make a thorough investigation of the whole problem . Specifically , we formalize the name disambiguation problem in a unified framework . The framework can incorporate both attribute and relationship into a probabilistic model . We explore a dynamic approach for automatically estimating the person number K and employ an adaptive distance measure to estimate the distance between objects . Experimental results show that our proposed framework can significantly outperform the baseline method .
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