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arXiv · 1704.01346

CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity

Jeremy Ferrero·Frederic Agnes·Laurent Besacier·Didier Schwab
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Abstract

We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of Spanish-English sentences, each system must estimate their semantic similarity by a score between 0 and 5. In our submission, we use syntax-based, dictionary-based, context-based, and MT-based methods. We also combine these methods in unsupervised and supervised way. Our best run ranked 1st on track 4a with a correlation of 83.02% with human annotations.

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Jeremy Ferrero, Frederic Agnes, Laurent Besacier, Didier Schwab. 2017-04-05. CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity. https://arxiv.org/abs/1704.01346

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