Explaining Missing Query Results in Natural Language
Explaining Missing Query Results in Natural Language
复制标题
用自然语言解释缺失的查询结果
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Tomer Haimovich
中科院分区：
文献类型：
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作者：
Daniel Deutch;Nave Frost;Amir Gilad;Tomer Haimovich
本文提出了一种在自然语言数据库接口(NLIDB)上下文中解释自然语言查询非答案的新方法。这样的界面允许非专家用户在底层数据库上提出查询；我们的目标是进一步允许用户询问为什么他们期望看到的一些结果在输出中缺失。简而言之，我们的方法是将NLIDB与用于解释丢失的查询结果的现有模型“结合”在一起，方法是找出对丢失的结果负有“责任”的最后一个查询操作符。我们观察到，人们经常可以追踪到原始自然语言问题中与这些运算符相对应的部分。这为直观地解释没有回答的问题铺平了道路，这些解释基于突出问题的相关部分。我们的体系结构是通用的，没有与特定的NLIDB结合，我们的解决方案以交互速度提供了清晰的解释。
We propose in this paper a novel approach for explaining query non-answers in Natural Language within the context of Natural Language Interfaces to Databases (NLIDBs). Such interfaces allow non-expert users to pose queries over an underlying database; our goal is to further allow users to ask why some results that they have expected to see, are missing from the output. In a nutshell, our approach is to “marry" NLIDBs with an existing model for explaining missing query results by pinpointing the last query operator that is “responsible" for the missing result. We observe that one can often trace the parts of the original NL question that correspond to these operators. This paves the way for intuitive explanations of the non-answers, that are based on highlighting the relevant parts of the question. Our architecture is generic and is not coupled with a specific NLIDB, and our solution yields clear explanations in interactive speed.
影响因子：
2.5
作者：
Melanie Herschel;Mauricio A. Hernández
通讯作者：
Melanie Herschel;Mauricio A. Hernández