Non-factoid Question Answering in the Legal Domain

被引：3
|
作者：
McElvain, Gayle [1 ,2 ,3 ]
Sanchez, George [2 ,3 ]
Teo, Don [2 ,3 ]
Custis, Tonya [2 ,3 ]
机构：
[1] Capital One, Mclean, VA 22102 USA
[2] Thomson Reuters, St Paul, MN USA
[3] Thomson Reuters, Toronto, ON, Canada
来源：
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) | 2019年
关键词：
question answering; legal question answering;
D O I：
10.1145/3331184.3331431
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Non-factoid question answering in the legal domain must provide legally correct, jurisdictionally relevant, and conversationally responsive answers to user-entered questions. We present work done on a QA system that is entirely based on IR and NLP, and does not rely on a structured knowledge base. Our system retrieves concise one-sentence answers for basic questions about the law. It is not restricted in scope to particular topics or jurisdictions. The corpus of potential answers contains approximately 22M documents classified to over 120K legal topics.
引用
收藏
页码：1395 / 1396
页数：2
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