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Being able to quantify the semantic similarity between two texts is important for many practical applications. SemantiKLUE combines unsupervised and supervised techniques into a robust system for measuring semantic similarity. At the core of the system is a word-to-word alignment of two texts using a maximum weight matching algorithm. The system participated in three SemEval-2014 shared tasks and the competitive results are evidence for its usability in that broad field of application.doi:10.3115/v1/s14-2093 dblp:conf/semeval/ProislEGK14 fatcat:zbzihwseqvh2dos55n6srihbpi