@inproceedings{he-etal-2021-detecting-polarized,
    title = "Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings",
    author = "He, Zihao  and
      Mokhberian, Negar  and
      C{\^a}mara, Ant{\'o}nio  and
      Abeliuk, Andres  and
      Lerman, Kristina",
    editor = "Moens, Marie-Francine  and
      Huang, Xuanjing  and
      Specia, Lucia  and
      Yih, Scott Wen-tau",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
    month = nov,
    year = "2021",
    address = "Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.findings-emnlp.181/",
    doi = "10.18653/v1/2021.findings-emnlp.181",
    pages = "2102--2118"
}