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ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features

Cheng Fu, Bo An, Xianpei Han, Le Sun
2016 Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)  
We measure the similarity between two sentences using three different types of features, including word alignment-based similarity, sentence vector-based similarity and sentence constituent similarity.  ...  This paper describes our system developed for English Monolingual subtask (STS Core) of SemEval-2016 Task 1: "Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation".  ...  Acknowledgments This work is supported by the National Natural Science Foundation of China under Grants no. 61433015, 61572477 and 61272324, and the National High Technology Development 863 Program of  ... 
doi:10.18653/v1/s16-1098 dblp:conf/semeval/FuAHS16 fatcat:txxfbm6bung6xpj6w5h3726gmq