insuranceqa-corpus-zh
=====================
保险行业语料库
Welcome
-------
该语料库包含从网站\ `Insurance
Library <http://www.insurancelibrary.com/>`__ 收集的问题和答案。
据我们所知，这是保险领域首个开放的QA语料库：
- 该语料库的内容由现实世界的用户提出，高质量的答案由具有深度领域知识的专业人士提供。
所以这是一个具有真正价值的语料，而不是玩具。
- 在上述论文中，语料库用于答复选择任务。
另一方面，这种语料库的其他用法也是可能的。
例如，通过阅读理解答案，观察学习等自主学习，使系统能够最终拿出自己的看不见的问题的答案。
欢迎任何进一步增加此数据集的想法。
阅读 `详细文档 <https://github.com/chatopera/insuranceqa-corpus-zh>`__
声明
----
声明1 :
`insuranceqa-corpus-zh <https://github.com/chatopera/insuranceqa-corpus-zh>`__
本数据集使用翻译
`insuranceQA <https://github.com/shuzi/insuranceQA>`__\ 而生成，代码发布证书
`Chunsong Public License, version 1.0<https://docs.cskefu.com/licenses/v1.html>`。数据仅限于研究用途，如果在发布的任何媒体、期刊、杂志或博客等内容时，必须注明引用和地址。
::
InsuranceQA Corpus, Hai Liang Wang, https://github.com/chatopera/insuranceqa-corpus-zh, 07 27, 2017
任何基于\ `insuranceqa-corpus <https://github.com/chatopera/insuranceqa-corpus-zh>`__\ 衍生的数据也需要开放并需要声明和“声明1”和“声明2”一致的内容。
声明2 : `insuranceQA <https://github.com/shuzi/insuranceQA>`__
此数据集仅作为研究目的提供。如果您使用这些数据发表任何内容，请引用我们的论文：\ `Applying
Deep Learning to Answer Selection: A Study and An Open
Task <https://arxiv.org/abs/1508.01585>`__\ 。Minwei Feng, Bing Xiang,
Michael R. Glass, Lidan Wang, Bowen Zhou @ 2015
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