Paper: UBC_UOS-TYPED: Regression for typed-similarity

ACL ID S13-1018
Title UBC_UOS-TYPED: Regression for typed-similarity
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We approach the typed-similarity task using a range of heuristics that rely on information from the appropriate metadata fields for each type of similarity. In addition we train a linear regressor for each type of similarity. The re- sults indicate that the linear regression is key for good performance. Our best system was ranked third in the task.