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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/S17-2012.pdf