Identifying principals and accessories in a complex case based on the comprehension of fact description

Yakun Hu; Zhunchen Luo; Wenhan Chao

doi:10.18653/v1/2020.acl-main.393

Identifying principals and accessories in a complex case based on the comprehension of fact description

Yakun Hu
, Zhunchen Luo
, Wenhan Chao^*

^*此作品的通讯作者

计算机学院

Beihang University
Academy of Military Medical Science China

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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 behavioral semantic information and 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.

源语言	英语
主期刊名	ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
出版商	Association for Computational Linguistics (ACL)
页	4265-4269
页数	5
ISBN（电子版）	9781952148255
DOI	https://doi.org/10.18653/v1/2020.acl-main.393
出版状态	已出版 - 2020
活动	58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 - Virtual, Online, 美国期限: 5 7月 2020 → 10 7月 2020

丛书

姓名	Proceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN（印刷版）	0736-587X

会议

会议	58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
国家/地区	美国
市	Virtual, Online
时期	5/07/20 → 10/07/20

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 16 和平、正义和强大机构

访问文件

10.18653/v1/2020.acl-main.393

其它文件与链接

链接到 Scopus 的出版物

引用此

Hu, Y., Luo, Z., & Chao, W. (2020). Identifying principals and accessories in a complex case based on the comprehension of fact description. 在 ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (页码 4265-4269). (Proceedings of the Annual Meeting of the Association for Computational Linguistics). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2020.acl-main.393

Hu, Yakun ; Luo, Zhunchen ; Chao, Wenhan. / Identifying principals and accessories in a complex case based on the comprehension of fact description. ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. 页码 4265-4269 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

@inproceedings{0336ca8ba6f0475bacbf43e0ada129ef,

title = "Identifying principals and accessories in a complex case based on the comprehension of fact description",

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 behavioral semantic information and 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.",

author = "Yakun Hu and Zhunchen Luo and Wenhan Chao",

note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics; 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 ; Conference date: 05-07-2020 Through 10-07-2020",

year = "2020",

doi = "10.18653/v1/2020.acl-main.393",

language = "英语",

series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

publisher = "Association for Computational Linguistics (ACL)",

pages = "4265--4269",

booktitle = "ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference",

address = "澳大利亚",

}

Hu, Y, Luo, Z & Chao, W 2020, Identifying principals and accessories in a complex case based on the comprehension of fact description. 在 ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Proceedings of the Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 页码 4265-4269, 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Virtual, Online, 美国, 5/07/20. https://doi.org/10.18653/v1/2020.acl-main.393

Identifying principals and accessories in a complex case based on the comprehension of fact description. / Hu, Yakun; Luo, Zhunchen; Chao, Wenhan.
ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. 页码 4265-4269 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Identifying principals and accessories in a complex case based on the comprehension of fact description

AU - Hu, Yakun

AU - Luo, Zhunchen

AU - Chao, Wenhan

PY - 2020

Y1 - 2020

N2 - 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 behavioral semantic information and 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.

AB - 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 behavioral semantic information and 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.

UR - https://www.scopus.com/pages/publications/85117964134

U2 - 10.18653/v1/2020.acl-main.393

DO - 10.18653/v1/2020.acl-main.393

M3 - 会议稿件

AN - SCOPUS:85117964134

T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics

SP - 4265

EP - 4269

BT - ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

PB - Association for Computational Linguistics (ACL)

T2 - 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020

Y2 - 5 July 2020 through 10 July 2020

ER -

Hu Y, Luo Z, Chao W. Identifying principals and accessories in a complex case based on the comprehension of fact description. 在 ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2020. 页码 4265-4269. (Proceedings of the Annual Meeting of the Association for Computational Linguistics). doi: 10.18653/v1/2020.acl-main.393

Identifying principals and accessories in a complex case based on the comprehension of fact description

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此