Semantic Textual Similarity

The STS benchmark (Cer et al., 2017) and SICK-Relatedness dataset (Marelli et al., 2014) respectively contain 8.6K and 9.8K labeled sentence pairs, the sizes of which are usually insufficient for training deep neural networks.

Data and Resources

Cite this as

Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Rada Mihalcea, German Rigau, Janyce Wiebe (2024). Dataset: Semantic Textual Similarity. https://doi.org/10.57702/38oi5rsy

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2105.07623
Author Eneko Agirre
More Authors
Carmen Banea
Claire Cardie
Daniel Cer
Mona Diab
Aitor Gonzalez-Agirre
Weiwei Guo
Rada Mihalcea
German Rigau
Janyce Wiebe
Homepage https://www.aclweb.org/anthology/S17-1025