Second-Order Latent Growth Models with Shifting Indicators

Performance of second-order latent growth curve models with shifting indicators

An Illustration of Second-Order Latent Growth Models

Latent Growth Curve Models

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

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 i...

Dgfs-cl Comparing Computational Models of Selectional Preferences – Second-order Co-occurrence vs. Latent Semantic Clusters

Selectional preferences (i.e., semantic restrictions on the realisation of predicate complements) are of great interest to research in Computational Linguistics, both from a lexicographic and from an applied (wrt data sparseness) perspective. This poster presents a comparison of three computational approaches to selectional preferences: (i) an intuitive distributional approach that uses second-...