论文标题
解释自然语言查询结果
Explaining Natural Language Query Results
论文作者
论文摘要
多种研究线开发了用于制定数据库查询的自然语言（NL）界面。我们以这项工作为基础，但专注于在NL中呈现答案的高度详细形式。我们提供的答案重要的是基于查询结果中的元素的出处，不仅详细介绍了结果，还详细介绍了它们的解释。我们通过利用原始的NL查询结构来开发一种将出处信息转换为NL的新方法。此外，由于出处信息通常是大而复杂的，因此我们提供了两种解决方案，以有效地表示为NL文本：一种基于出处分解的文本，具有与NL情况相关的新型Desiderata，另一种是基于摘要。我们已经在端到端系统中实施了解决方案，以支持问题，答案和出处，所有这些都以NL表示。我们的实验（包括用户研究）表明了解决方案的质量及其可扩展性。
Multiple lines of research have developed Natural Language (NL) interfaces for formulating database queries. We build upon this work, but focus on presenting a highly detailed form of the answers in NL. The answers that we present are importantly based on the provenance of tuples in the query result, detailing not only the results but also their explanations. We develop a novel method for transforming provenance information to NL, by leveraging the original NL query structure. Furthermore, since provenance information is typically large and complex, we present two solutions for its effective presentation as NL text: one that is based on provenance factorization, with novel desiderata relevant to the NL case, and one that is based on summarization. We have implemented our solution in an end-to-end system supporting questions, answers and provenance, all expressed in NL. Our experiments, including a user study, indicate the quality of our solution and its scalability.
