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CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity
April 05, 2017 ยท Declared Dead ยท ๐ International Workshop on Semantic Evaluation
"No code URL or promise found in abstract"
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Authors
Jeremy Ferrero, Frederic Agnes, Laurent Besacier, Didier Schwab
arXiv ID
1704.01346
Category
cs.CL: Computation & Language
Citations
16
Venue
International Workshop on Semantic Evaluation
Last Checked
4 months ago
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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