MiniExperts: An SVM approach for Measuring Semantic Textual Similarity

Béchara, H., Costa, H., Taslimipoor, S., Gupta, R., Orasan, C., Pasto, G. C., & Ruslan Mitkov. (2015). MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) (pp. 96 – 101). Denver, Colorado.


This paper describes the system submitted by the University of Wolverhampton and the University of Malaga for SemEval-2015 Task 2: Semantic Textual Similarity. The system uses a Supported Vector Machine approach based on a number of linguistically motivated features. Our system performed satisfactorily for English and obtained a mean 0.7216 Pearson correlation. However, it performed less adequately for Spanish, obtaining only a mean 0.5158.

Electronic version