Re-examining the Role of Schema Linking in Text-to-SQL Article Swipe

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Wenqiang Lei , Weixin Wang , Zhixin Ma , Tian Gan , Wei Lu , Min‐Yen Kan , Tat‐Seng Chua ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.18653/v1/2020.emnlp-main.564

In existing sophisticated text-to-SQL models, schema linking is often considered as a simple, minor component, belying its importance. By providing a schema linking corpus based on the Spider text-to-SQL dataset, we systematically study the role of schema linking. We also build a simple BERT-based baseline, called Schema-Linking SQL (SLSQL) to perform a data-driven study. We find when schema linking is done well, SLSQL demonstrates good performance on Spider despite its structural simplicity. Many remaining errors are attributable to corpus noise. This suggests schema linking is the crux for the current text-to-SQL task. Our analytic studies provide insights on the characteristics of schema linking for future developments of text-to-SQL tasks.

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Computer Science

Sql

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Computer science Schema (genetic algorithms) SQL Database schema Information schema Programming language Information retrieval Semi-structured model Database design

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Type: article
Language: en
Landing Page: https://doi.org/10.18653/v1/2020.emnlp-main.564
PDF: https://www.aclweb.org/anthology/2020.emnlp-main.564.pdf
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Cited By: 63
References: 46
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DOI: https://doi.org/10.18653/v1/2020.emnlp-main.564

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Title: Re-examining the Role of Schema Linking in Text-to-SQL

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-01-01

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Authors: Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min‐Yen Kan, Tat‐Seng Chua

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Landing page: https://doi.org/10.18653/v1/2020.emnlp-main.564

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Concepts: Computer science, Schema (genetic algorithms), SQL, Database schema, Information schema, Programming language, Information retrieval, Semi-structured model, Database design

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Cited by: 63

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