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ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Research article (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021) · cited 12× · AI/ML
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ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Summary

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction is a scholarly article[1].

Key Facts

  • ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/rope-reading-order-equivariant-positional-encoding-for-graph-based-document-information-extraction
MLA “ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rope-reading-order-equivariant-positional-encoding-for-graph-based-document-information-extraction.
BibTeX @misc{4ortxyz_rope-reading-order-equivariant-positional-encoding-for-graph-based-document-information-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/rope-reading-order-equivariant-positional-encoding-for-graph-based-document-information-extraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction — https://4ort.xyz/entity/rope-reading-order-equivariant-positional-encoding-for-graph-based-document-information-extraction (retrieved 2026-05-24)

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