Research data supporting "SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity"
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Gerz, D., Vulic, I., Hill, F., Reichart, R., & Korhonen, A. (2017). Research data supporting "SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity" [Dataset]. https://doi.org/10.17863/CAM.9391
SimVerb-3500 is a gold standard evaluation resource for semantic similarity of verbs. We provide 3500 verb pairs with ratings on a scale 0-10. Here are some examples: to reply / to respond - 9.79; to participate / to join - 5.64; to stay / to leave - 0.17; SimVerb-3500 covers all normed verb types from the USF free-association database, and provides at least three examples for every VerbNet class. Please refer to the publication or the following website for more information: http://people.ds.cam.ac.uk/dsg40/simverb.html
The .zip file includes the full dataset, as well as a development and test split in .txt format. In addition to the averaged scores, we also provide the raw individual ratings per annotator. Please see the accompanying readme file for the file formats and details.
verbs, semantic similarity
Publication Reference: https://www.aclweb.org/anthology/D16-1235.pdf
ECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (648909)
This record's DOI: https://doi.org/10.17863/CAM.9391