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

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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Communication dans un congrès
Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017),, Aug 2017, Vancouver, Canada. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017),, 2017
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https://hal.archives-ouvertes.fr/hal-01531330
Contributeur : Jérémy Ferrero <>
Soumis le : jeudi 1 juin 2017 - 15:28:26
Dernière modification le : jeudi 11 octobre 2018 - 08:48:03

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  • HAL Id : hal-01531330, version 1

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Jérémy Ferrero, Laurent Besacier, Didier Schwab, Frédéric Agnès. CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017),, Aug 2017, Vancouver, Canada. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017),, 2017. 〈hal-01531330〉

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