Paper: UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment

ACL ID S14-2139
Title UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual Entailment
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This paper presents the system submit- ted by University of Wolverhampton for SemEval-2014 task 1. We proposed a ma- chine learning approach which is based on features extracted using Typed Depen- dencies, Paraphrasing, Machine Transla- tion evaluation metrics, Quality Estima- tion metrics and Corpus Pattern Analysis. Our system performed satisfactorily and obtained 0.711 Pearson correlation for the semantic relatedness task and 78.52% ac- curacy for the textual entailment task.