论文标题
AskYourDB：使用自然语言查询和可视化关系数据库的端到端系统
AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language
论文作者
论文摘要
查询数据库正确的信息是一项耗时且容易出错的任务，通常需要经验丰富的专业人员来完成工作。此外，用户需要对数据库有一些先验知识。已经做出了各种努力来开发智能，可以帮助企业用户直接查询数据库。但是，已经取得了一些成功，但是在测试和部署现实世界用户方面很少。在本文中，我们提出了一种语义解析方法，以应对将复杂的自然语言转化为SQL并从中提取产品的挑战。为此，我们通过各种前后处理步骤修改了最新模型，这些步骤在生产中部署模型时会产生重要的部分。为了使产品可为企业提供服务，我们在查询结果上添加了一个自动可视化框架。
Querying databases for the right information is a time consuming and error-prone task and often requires experienced professionals for the job. Furthermore, the user needs to have some prior knowledge about the database. There have been various efforts to develop an intelligence which can help business users to query databases directly. However, there has been some successes, but very little in terms of testing and deploying those for real world users. In this paper, we propose a semantic parsing approach to address the challenge of converting complex natural language into SQL and institute a product out of it. For this purpose, we modified state-of-the-art models, by various pre and post processing steps which make the significant part when a model is deployed in production. To make the product serviceable to businesses we added an automatic visualization framework over the queried results.
