Entity and Relationship Labeling in Affiliation Networks

@inproceedings{Zhao2006EntityAR,
  title={Entity and Relationship Labeling in Affiliation Networks},
  author={Bin Zhao and Prithviraj Sen and Lise Getoor},
  year={2006}
}
Many domains are best characterized as an affiliation network describing a set of actors and a set of events interlinked together in a variety of relationships. Relational classification in these domains requires the collective classification of both entities (actors and events) and relationships. We investigate the use of relational Markov networks (RMN) for relational classification in affiliation networks. In this paper, we introduce a novel dataset, Profile in Terror (PIT) knowledge base… CONTINUE READING
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