论文标题
集成葡萄牙语中的问题回答和文本到SQL
Integrating question answering and text-to-SQL in Portuguese
论文作者
论文摘要
深度学习变压器具有大幅改进的系统，可以自动回答自然语言的问题。但是，不同的问题需要不同的答案技术。在这里，我们提出，构建和验证一个集成不同模块以回答两种不同类型的查询的体系结构。我们的体系结构采用自由形式的自然语言文本，并将其分类为将其发送到回答推理者的神经问题，或者将自然语言解析器发送给SQL。我们使用一些可用于语言的主要工具以及翻译培训和测试数据集实现了一个完整的葡萄牙语系统。实验表明，我们的系统以高精度（超过99 \％）选择适当的答案方法，从而验证了模块化的问题答案策略。
Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techniques; here we propose, build and validate an architecture that integrates different modules to answer two distinct kinds of queries. Our architecture takes a free-form natural language text and classifies it to send it either to a Neural Question Answering Reasoner or a Natural Language parser to SQL. We implemented a complete system for the Portuguese language, using some of the main tools available for the language and translating training and testing datasets. Experiments show that our system selects the appropriate answering method with high accuracy (over 99\%), thus validating a modular question answering strategy.
