@inproceedings{nguyen-etal-2015-tea,
    title = "Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress",
    author = "Nguyen, Viet-An  and
      Boyd-Graber, Jordan  and
      Resnik, Philip  and
      Miler, Kristina",
    editor = "Zong, Chengqing  and
      Strube, Michael",
    booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = jul,
    year = "2015",
    address = "Beijing, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/P15-1139/",
    doi = "10.3115/v1/P15-1139",
    pages = "1438--1448"
}