Paper: CoMeT: Integrating different levels of linguistic modeling for meaning assessment

ACL ID S13-2102
Title CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the CoMeT system, our contribution to the SemEval 2013 Task 7 chal- lenge, focusing on the task of automatically assessing student answers to factual questions. CoMeT is based on a meta-classifier that uses the outputs of the sub-systems we developed: CoMiC, CoSeC, and three shallower bag ap- proaches. We sketch the functionality of all sub-systems and evaluate their performance against the official test set of the challenge. CoMeT obtained the best result (73.1% accu- racy) for the 3-way unseen answers in Beetle among all challenge participants. We also dis- cuss possible improvements and directions for future research.