MayoClinicNLP--CORE: Semantic representations for textual similarity

The Semantic Textual Similarity (STS) task examines semantic similarity at a sentencelevel. We explored three representations of semantics (implicit or explicit): named entities, semantic vectors, and structured vectorial semantics. From a DKPro baseline, we also performed feature selection and used sourcespecific linear regression models to combine our features. Our systems placed 5th, 6th, and 8th among 90 submitted systems. 1