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SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles

Liling Tan, Carolina Scarton, Lucia Specia, Josef van Genabith
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
We extend the work on using machine translation (MT) metrics in the STS task by automatically annotating the STS datasets with a variety of MT scores for each pair of text snippets in the STS datasets.  ...  This paper describes the SAARSHEFF systems that participated in the English Semantic Textual Similarity (STS) task in SemEval-2016.  ...  UPC- CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?  ... 
doi:10.18653/v1/s16-1095 dblp:conf/semeval/TanSSG16 fatcat:zjg7yreu6fgi5fvbdclqpaizka