Unsupervised Name Ambiguity Resolution Using A Generative Model

  title={Unsupervised Name Ambiguity Resolution Using A Generative Model},
  author={Zornitsa Kozareva and Sujith Ravi},
Resolving ambiguity associated with names found on the Web, Wikipedia or medical texts is a very challenging task, which has been of great interest to the research community. We propose a novel approach to disambiguating names using Latent Dirichlet Allocation, where the learned topics represent the underlying senses of the ambiguous name. We conduct a detailed evaluation on multiple data sets containing ambiguous person, location and organization names and for multiple languages such as… CONTINUE READING
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