UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic Similarity System
Sakethram Karumuri, Viswanadh Kumar Reddy Vuggumudi, Sai Charan Raj Chitirala · 2015
This paper describes SVCSTS, a system that was submitted in SemEval-2015 Task 2: Se-mantic Textual Similarity(STS)(Agirre et al., 2015). The task has 3 subtasks viz., English STS, Spanish STS and Interpretable STS. SVCSTS uses Monolingual word aligner (Sul-tan et al., May 2014), supervised machine learning, Google and Bing translator API’s. Various runs of the system outperformed all other participating systems in Interpretable STS for non-chunked sentence input. 1