@inproceedings{hu-etal-2020-identifying,
    title = "Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description",
    author = "Hu, Yakun  and
      Luo, Zhunchen  and
      Chao, Wenhan",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.acl-main.393/",
    doi = "10.18653/v1/2020.acl-main.393",
    pages = "4265--4269",
    abstract = "In this paper, we study the problem of identifying the principals and accessories from the fact description with multiple defendants in a criminal case. We treat the fact descriptions as narrative texts and the defendants as roles over the narrative story. We propose to model the defendants with \textit{behavioral semantic information} and \textit{statistical characteristics}, then learning the importances of defendants within a learning-to-rank framework. Experimental results on a real-world dataset demonstrate the behavior analysis can effectively model the defendants' impacts in a complex case."
}