A semantic textual similarity measurement model based on the syntactic-semantic representation

Abstract

Measuring semantic textual similarity (STS) lies at the core of many applications in natural language processing (NLP). Recently, most models have considered semantic information or syntactic information, but seldom an unified model to make full use