A Unified Framework for Name Disambiguation
- Jie Tang(Tsinghua University)
- Jing Zhang(Tsinghua University)
- Duo Zhang(University of Illinois at Urbana Champaign)
- Juanzi Li(Tsinghua University)
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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