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

Jérémy Ferrero, Laurent Besacier, Didier Schwab, Frédéric Agnès


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.
Anthology ID:
S17-2012
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
109–114
Language:
URL:
https://aclanthology.org/S17-2012
DOI:
10.18653/v1/S17-2012
Bibkey:
Cite (ACL):
Jérémy Ferrero, Laurent Besacier, Didier Schwab, and Frédéric Agnès. 2017. CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 109–114, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity (Ferrero et al., SemEval 2017)
Copy Citation:
PDF:
https://aclanthology.org/S17-2012.pdf
Poster:
 S17-2012.Poster.pdf