2020

X-Stance: A Multilingual Multi-Target Dataset for Stance Detection

Vamvas, Jannis, Sennrich, Rico

Understand

We extract a large-scale stance detection dataset from comments written by candidates of elections in Switzerland.

  • The dataset consists of German, French and Italian text, allowing for a cross-lingual evaluation of stance detection.
  • It contains 67 000 comments on more than 150 political issues (targets).
  • Unlike stance detection models that have specific target issues, we use the dataset to train a single model on all the issues.

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