A Simple, Similarity-based Model for Selectional Preferences

We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeling, we compute selectional preferences for semantic roles. In evaluations the similarity-based model shows lower error rates than both Resnik’s WordNet-based model and the EM-based clustering model, but has coverage problems.

• Type: Conference
• Year: 2007
• Where: ACL
• Authors: Katrin Erk
• Keywords: ACL 2007, Computational Linguistics, Corpus-based Semantic Similarity, Selectional Preferences, Semantic Roles