no code implementations • EACL (Hackashop) 2021 • Costanza Conforti, Jakob Berndt, Marco Basaldella, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
Cross-target generalization constitutes an important issue for news Stance Detection (SD).
no code implementations • EACL (WASSA) 2021 • Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
Cross-target generalization is a known problem in stance detection (SD), where systems tend to perform poorly when exposed to targets unseen during training.
1 code implementation • ACL 2022 • Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
Research in stance detection has so far focused on models which leverage purely textual input.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
We present a new challenging news dataset that targets both stance detection (SD) and fine-grained evidence retrieval (ER).
2 code implementations • ACL 2020 • Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
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.