DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity
Md Arafat Sultan, Steven J. Bethard, Tamara Sumner · 2016
We describe a set of systems submitted to the SemEval-2016 English Semantic Textual Similarity (STS) task.Given two English sentences, the task is to compute the degree of their semantic similarity.Each of our systems uses the SemEval 2012-2015 STS datasets to train a ridge regression model that combines different measures of similarity.Our best system demonstrates 73.6% correlation with average human annotations across five test sets.