Paper: Using Selectional Profile Distance To Detect Verb Alternations

ACL ID W04-2605
Title Using Selectional Profile Distance To Detect Verb Alternations
Venue Computational Lexical Semantics Workshop
Session
Year 2004
Authors

We propose a new method for detecting verb al- ternations, by comparing the probability distri- butions over WordNet classes occurring in two potentially alternating argument positions. Ex- isting distance measures compute only the dis- tributional distance, and do not take into ac- count the semantic similarity between Word- Net senses across the distributions. Our method compares two probability distributions over WordNet by measuring the semantic distance of the component nodes, weighted by their probability. To incorporate semantic similarity, we calculate the (dis)similarity between two probability distributions as a weighted distance “travelled” from one to the other through the WordNet hierarchy. We evaluate the measure on the causative alternation, and find that over- all it ou...