CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity
Chi-kiu Lo, Cyril Goutte, Michel G. Simard · 2016
We describe the systems entered by the National Research Council Canada in the SemEval-2016 Task1: Crosslingual Semantic Textual Similarity.We tried two approaches: One computes a true crosslingual similarity based on features extracted from lexical semantics and shallow semantic structures of the source and target fragments, combined using a linear model.The other approach relies on Statistical Machine Translation, followed by a monolingual semantic similarity, relying again on syntactic and semantic features.We report our experiments using trial data, as well as official final results on the evaluation data.