RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation

Semi-structured tables, with their varied layouts and formatting artifacts, remain a major obstacle for automated data processing and analytics.To address these challenges, we propose RELATIONALCODER, which uniformly converts semi-structured tables into relational data, enabling smooth integration with the rich ecosystem of data processing and analytics tools.By leveraging SQL code, RELATIONAL-CODER prevents schema errors and markedly improves normalization quality across multiple relational tables.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.89
Citations
1
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
1.49

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article

RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation

Huailiang Peng, Yanan Cao, Yue Hu, Haoyu Dong
1 citations
Advanced Database Systems and Queries
1.49
article

RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation

Huailiang Peng, Yanan Cao, Yue Hu, Haoyu Dong
article en
1 citations

Abstract

Semi-structured tables, with their varied layouts and formatting artifacts, remain a major obstacle for automated data processing and analytics.To address these challenges, we propose RELATIONALCODER, which uniformly converts semi-structured tables into relational data, enabling smooth integration with the rich ecosystem of data processing and analytics tools.By leveraging SQL code, RELATIONAL-CODER prevents schema errors and markedly improves normalization quality across multiple relational tables.

Institute of Information Engineering (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Advanced Database Systems and Queries
1.49
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