CNRC at SemEval-2016 task 1: experiments in crosslingual semantic textual similarity

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DOIResolve DOI: http://doi.org/10.18653/v1/S16-1102
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TypeArticle
Proceedings titleProceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
ConferenceThe 10th International Workshop on Semantic Evaluation (SemEval-2016), June 16-17, 2016, San Diego, California, USA
Pages668673
AbstractWe 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.
Publication date
PublisherAssociation for Computational Linguistics
LanguageEnglish
AffiliationInformation and Communication Technologies; National Research Council Canada
Peer reviewedYes
NPARC number23001194
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Record identifier3c2d3f6a-3e01-4ca1-9606-9b7557f50de3
Record created2017-01-04
Record modified2017-01-04
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