Home › Entities › academia › PubTables-1M: Towards comprehensive table extraction from unstructured documents

PubTables-1M: Towards comprehensive table extraction from unstructured documents

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 131× · AI/ML
academia openalex:W3217518891
Press Enter · cited answer in seconds

PubTables-1M: Towards comprehensive table extraction from unstructured documents

Summary

PubTables-1M: Towards comprehensive table extraction from unstructured documents is a scholarly article[1].

Key Facts

  • PubTables-1M: Towards comprehensive table extraction from unstructured documents's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). PubTables-1M: Towards comprehensive table extraction from unstructured documents. Retrieved May 24, 2026, from https://4ort.xyz/entity/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents
MLA “PubTables-1M: Towards comprehensive table extraction from unstructured documents.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents.
BibTeX @misc{4ortxyz_pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PubTables-1M: Towards comprehensive table extraction from unstructured documents}}, year = {2026}, url = {https://4ort.xyz/entity/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PubTables-1M: Towards comprehensive table extraction from unstructured documents — https://4ort.xyz/entity/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/pubtables-1m-towards-comprehensive-table-extraction-from-unstructured-documents · Last refreshed: