We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type. All the annotations are carried out by experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection. Our experiments with a wide range of recent state-of-the-art stance detection systems show that the dataset poses a strong challenge to existing models in this domain. The entire dataset is released for future research.
CITATION STYLE
Conforti, C., Berndt, J., Pilehvar, M. T., Giannitsarou, C., Toxvaerd, F., & Collier, N. (2020). Will-they-won’t-they: A very large dataset for stance detection on twitter. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 1715–1724). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.acl-main.157
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