Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models

Fraunhofer SIT@SMM4H’22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models Raphael Frick author Martin Steinebach author 2022-10 text Proceedings of the Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task Graciela Gonzalez-Hernandez editor Davy Weissenbacher editor Association for Computational Linguistics Gyeongju, Republic of Korea conference publication frick-steinebach-2022-fraunhofer https://aclanthology.org/2022.smm4h-1.31/ 2022-10 111 113