Table Extraction and Understanding for Scientific and Enterprise Applications
Summary: Survey and tutorial on table extraction and understanding for scientific and enterprise docs. From border/cell segmentation to semantic linking with headers, units, captions, and surrounding text, it surveys methods, open problems, and applications. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Douglas Burdick (IBM)
- 2. Marina Danilevsky (IBM)
- 3. Alexandre V Evfimievski (IBM)
- 4. Yannis Katsis (IBM)
- 5. Nancy Wang (IBM)
BibTeX Citation
@article{burdick_vldb20,
title = {{Table Extraction and Understanding for Scientific and Enterprise Applications}},
author = {Burdick, Douglas and Danilevsky, Marina and Evfimievski, Alexandre V and Katsis, Yannis and Wang, Nancy},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3433--3436},
doi = {10.14778/3415478.3415563},
url = {https://doi.org/10.14778/3415478.3415563},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,894 | ST-Raptor: LLM-Powered Semi-Structured Table Question Answering | 2026 | SIGMOD | 5.4152499e-05 |
| 10,405 | NOAH: A System for Analyzing Non-relational Tables Using Natural Language | 2027 | SIGMOD | 4.9605343e-05 |
| 10,670 | AixelAsk: A Stepwise-Guided Retrieval and Reasoning Framework for Large Table QA | 2026 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 88 | WebTables: Exploring the Power of Tables on the Web | 2008 | VLDB | 0.00035500667 |
| 753 | Recovering Semantics of Tables on the Web | 2011 | VLDB | 0.00014228161 |
| 2,942 | Fonduer: Knowledge Base Construction from Richly Formatted Data | 2018 | SIGMOD | 7.8171618e-05 |
| 3,247 | Ten Years of WebTables | 2018 | VLDB | 7.4774952e-05 |
| 3,573 | Using the Structure of Web Sites for Automatic Segmentation of Tables | 2004 | SIGMOD | 7.1775403e-05 |
| 8,875 | Creation and Interaction with Large-scale Domain-Specific Knowledge Bases | 2017 | VLDB | 5.2452174e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 753 | Recovering Semantics of Tables on the Web | 2011 | VLDB |
| 2 | 9,838 | Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations | 2026 | SIGMOD |
| 3 | 2,289 | Schema Extraction for Tabular Data on the Web | 2013 | VLDB |
| 4 | 3,618 | TEGRA: Table Extraction by Global Record Alignment | 2015 | SIGMOD |
| 5 | 4,548 | Database Principles in Information Extraction | 2014 | PODS |
| 6 | 8,303 | Applying WebTables in Practice | 2015 | CIDR |
| 7 | 4,611 | Transformers for Tabular Data Representation: A Tutorial on Models and Applications | 2022 | VLDB |
| 8 | 1,336 | Harvesting Relational Tables from Lists on the Web | 2009 | VLDB |
| 9 | 13,631 | SciTables: A Dataset and Evaluation Framework for Complex Table-to-Text Generation | 2026 | VLDB |
| 10 | 9,278 | Making Table Understanding Work in Practice | 2022 | CIDR |