法律领域的非事实性问答

Gayle McElvain, George Sanchez, Don Teo, Tonya Custis
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引用次数: 3

摘要

法律领域的非事实性问题回答必须为用户输入的问题提供法律上正确的、司法上相关的、对话式响应的答案。我们展示了一个完全基于IR和NLP的QA系统,而不依赖于结构化知识库。我们的系统为有关法律的基本问题检索简洁的一句话答案。它的范围不限于特定主题或司法管辖区。潜在答案的语料库包含大约2200万份文档,分类为超过12万个法律主题。
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Non-factoid Question Answering in the Legal Domain
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.
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