A Latent Dirichlet Allocation Method for Selectional Preferences

@inproceedings{Ritter2010ALD,
  title={A Latent Dirichlet Allocation Method for Selectional Preferences},
  author={Alan Ritter and Mausam and Oren Etzioni},
  booktitle={ACL},
  year={2010}
}
Computation of selectional preferences, the admissible argument values for a relation, is a well studied NLP task with wide applicability. We present LDA-SP, the first LDA-based approach to computing selectional preferences. By simultaneously inferring latent topics and topic distributions over relations, LDA-SP combines the benefits of previous approaches: it is competitive with the non-class-based methods in predictive power, and also produces human-interpretable classes describing each… CONTINUE READING
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