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.
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 • 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.