Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman. Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 2102-2118, Association for Computational Linguistics, 2021. [doi]
@inproceedings{HeMCAL21,
title = {Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings},
author = {Zihao He and Negar Mokhberian and António Câmara and Andrés Abeliuk and Kristina Lerman},
year = {2021},
url = {https://aclanthology.org/2021.findings-emnlp.181},
researchr = {https://researchr.org/publication/HeMCAL21},
cites = {0},
citedby = {0},
pages = {2102-2118},
booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021},
editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
publisher = {Association for Computational Linguistics},
}