Paper: UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems

ACL ID S13-1005
Title UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We describe three semantic text similarity systems developed for the *SEM 2013 STS shared task and the results of the correspond- ing three runs. All of them shared a word sim- ilarity feature that combined LSA word sim- ilarity and WordNet knowledge. The first, which achieved the best mean score of the 89 submitted runs, used a simple term alignment algorithm augmented with penalty terms. The other two runs, ranked second and fourth, used support vector regression models to combine larger sets of features.