Paper: NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality

ACL ID S14-2078
Title NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

The paper describes the approaches taken by the NTNU team to the SemEval 2014 Semantic Textual Similarity shared task. The solutions combine measures based on lexical soft cardinality and character n-gram feature representations with lexi- cal distance metrics from TakeLab?s base- line system. The final NTNU system is based on bagged support vector machine regression over the datasets from previous shared tasks and shows highly competi- tive performance, being the best system on three of the datasets and third best overall (on weighted mean over all six datasets).