Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters

@inproceedings{Walde2010ComparingCM,
  title={Comparing Computational Models of Selectional Preferences - Second-order Co-Occurrence vs. Latent Semantic Clusters},
  author={Sabine Schulte im Walde},
  booktitle={LREC},
  year={2010}
}
This paper presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-order co-occurrence of predicates and complement properties; (ii) an EM-based clustering approach that models the strengths of predicate–noun relationships by latent semantic clusters; and (iii) an extension of the latent semantic clusters by incorporating the MDL principle into the EM training, thus explicitly modelling the predicate–noun… CONTINUE READING

From This Paper

Topics from this paper.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…