Paper: Computing Paraphrasability of Syntactic Variants Using Web Snippets

ACL ID I08-1070
Title Computing Paraphrasability of Syntactic Variants Using Web Snippets
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

In a broad range of natural language pro- cessing tasks, large-scale knowledge-base of paraphrases is anticipated to improve their performance. The key issue in creating such a resource is to establish a practical method of computing semantic equivalence and syn- tactic substitutability, i.e., paraphrasability, between given pair of expressions. This paper addresses the issues of computing paraphrasability, focusing on syntactic vari- ants of predicate phrases. Our model esti- mates paraphrasability based on traditional distributional similarity measures, where the Web snippets are used to overcome the data sparseness problem in handling predicate phrases. Several feature sets are evaluated through empirical experiments.