一句话：提出识别电子表格语义表结构（表头类型与关系）的任务，以支持数据分析与错误检测。
电子表格广泛用于各类业务任务并承载大量有价值数据，但其表格往往以半结构化方式组织，包含复杂的语义结构，如表头类型以及表头之间的关系。由于缺乏文档化的语义表结构，现有数据分析和错误检测工具难以理解电子表格表格。因此，识别电子表格中的语义表结构十分重要，并可显著促进各类电子表格分析任务。摘要未给出具体识别方法、实验设置与量化结果，主要贡献在于明确该问题并强调其重要性。
Spreadsheets are widely used in various business tasks, and contain amounts of valuable data. However, spreadsheet tables are usually organized in a semi-structured way, and contain complicated semantic structures, e.g., header types and relations among headers. Lack of documented semantic table structures, existing data analysis and error detection tools can hardly understand spreadsheet tables. Therefore, identifying semantic table structures in spreadsheet tables is of great importance, and can greatly promote various analysis tasks on spreadsheets.
DOI 原文 ·
@inproceedings{paperbot6662,
title = {Semantic table structure identification in spreadsheets},
author = {Yakun Zhang and Xiao Lv and Haoyu Dong and Wensheng Dou and Shi Han and Dongmei Zhang and Jun Wei and Dan Ye},
booktitle = {ISSTA},
year = {2021},
doi = {10.1145/3460319.3464812}
}