Paper: A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation

ACL ID P13-1115
Title A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

This paper presents an unsupervised ran- dom walk approach to alleviate data spar- sity for selectional preferences. Based on the measure of preferences between predi- cates and arguments, the model aggregates all the transitions from a given predicate to its nearby predicates, and propagates their argument preferences as the given predi- cate?s smoothed preferences. Experimen- tal results show that this approach out- performs several state-of-the-art method- s on the pseudo-disambiguation task, and it better correlates with human plausibility judgements.