Paper: EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis

ACL ID S13-2097
Title EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We present a 5-way supervised system based on syntactic-semantic similarity features. The model deploys: Text overlap measures, WordNet-based lexical similarities, graph- based similarities, corpus-based similarities, syntactic structure overlap and predicate- argument overlap measures. These measures are applied to question, reference answer and student answer triplets. We take into account the negation in the syntactic and predicate- argument overlap measures. Our system uses the domain-specific data as one dataset to build a robust system. The results show that our system is above the median and mean on all the evaluation scenarios of the SemEval- 2013 task #7.