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Cost-effective End-to-end Information Extraction for Semi-structured Document Images

Research article (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021) · cited 18× · AI/ML
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Cost-effective End-to-end Information Extraction for Semi-structured Document Images

Summary

Cost-effective End-to-end Information Extraction for Semi-structured Document Images is a scholarly article[1].

Key Facts

  • Cost-effective End-to-end Information Extraction for Semi-structured Document Images's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Cost-effective End-to-end Information Extraction for Semi-structured Document Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/cost-effective-end-to-end-information-extraction-for-semi-structured-document-images
MLA “Cost-effective End-to-end Information Extraction for Semi-structured Document Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cost-effective-end-to-end-information-extraction-for-semi-structured-document-images.
BibTeX @misc{4ortxyz_cost-effective-end-to-end-information-extraction-for-semi-structured-document-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cost-effective End-to-end Information Extraction for Semi-structured Document Images}}, year = {2026}, url = {https://4ort.xyz/entity/cost-effective-end-to-end-information-extraction-for-semi-structured-document-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cost-effective End-to-end Information Extraction for Semi-structured Document Images — https://4ort.xyz/entity/cost-effective-end-to-end-information-extraction-for-semi-structured-document-images (retrieved 2026-05-24)

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