论文标题
提取SQL查询生成的提取和链接
Mention Extraction and Linking for SQL Query Generation
论文作者
论文摘要
在WikiSQL基准测试中，最先进的文本到SQL系统通常通过为每种类型的插槽构建多个专用模型来采用插槽填充方法。这种模块化系统不仅是复杂的，而且还具有有限的能力捕获SQL条款中依赖性的能力有限。为了解决这些问题，本文提出了一种新型的提取链接方法，统一提取器在链接器将公认的列映射到表格中以生成可执行的SQL查询之前，识别出在问题句子中出现的所有类型的插槽提及。经过自动生成的注释培训，该方法在WikisQL基准测试中获得了第一名。
On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take a slot-filling approach by building several dedicated models for each type of slots. Such modularized systems are not only complex butalso of limited capacity for capturing inter-dependencies among SQL clauses. To solve these problems, this paper proposes a novel extraction-linking approach, where a unified extractor recognizes all types of slot mentions appearing in the question sentence before a linker maps the recognized columns to the table schema to generate executable SQL queries. Trained with automatically generated annotations, the proposed method achieves the first place on the WikiSQL benchmark.
