| Download | - View final version: CNRC at SemEval-2016 task 1: experiments in crosslingual semantic textual similarity (PDF, 534 KiB)
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| DOI | Resolve DOI: https://doi.org/10.18653/v1/S16-1102 |
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| Author | Search for: Lo, Chi-kiu1; Search for: Goutte, Cyril1; Search for: Simard, Michel1 |
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| Affiliation | - National Research Council of Canada. Information and Communication Technologies
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| Format | Text, Article |
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| Conference | The 10th International Workshop on Semantic Evaluation (SemEval-2016), June 16-17, 2016, San Diego, California, USA |
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| Abstract | 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. |
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| Publication date | 2016 |
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| Publisher | Association for Computational Linguistics |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23001194 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3c2d3f6a-3e01-4ca1-9606-9b7557f50de3 |
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| Record created | 2017-01-04 |
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| Record modified | 2020-06-02 |
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