Publication: DeInStance: Creating and Evaluating a German Corpus for Fine-Grained Inferred Stance Detection
DeInStance: Creating and Evaluating a German Corpus for Fine-Grained Inferred Stance Detection
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Göhring, A., Klenner, M., & Conrad, S. (2021). DeInStance: Creating and Evaluating a German Corpus for Fine-Grained Inferred Stance Detection. 213–217. https://aclanthology.org/2021.konvens-1.20
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We introduce deInStance, a corpus of 1000 politicians’ answers in German (de) containing sentences labeled with explicitly expressed and inferred stances - pro and con relations - by 3 annotators. They achieved an acceptable inter-rater agreement given the inherent subjective nature of the task. A first baseline, a fine-tuned BERT-based token classifier, achieved F1-scores of around 70% . Our focus is on the difficult subclass of sentences comprising only non-polar words, but still with an (implicit) pro or con perspective of the writ
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Göhring, A., Klenner, M., & Conrad, S. (2021). DeInStance: Creating and Evaluating a German Corpus for Fine-Grained Inferred Stance Detection. 213–217. https://aclanthology.org/2021.konvens-1.20
