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Data Augmentation for Abstractive Query-Focused Multi-Document Summarization

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2021) · cited 33× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
May 18, 2021as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Proceedings of the AAAI Conference on Artificial Intelligenceas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Data Augmentation for Abstractive Query-Focused Multi-Document Summarizationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W3174449720as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1609/AAAI.V35I15.17611as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 6
Aslı Çelikyılmaz, Chenyan Xiong, Jianfeng Gao, Michel Galley, Ramakanth Pasunuru, Yizhe Zhang
← Author of 6
Aslı Çelikyılmaz, Chenyan Xiong, Jianfeng Gao, Michel Galley, Ramakanth Pasunuru, Yizhe Zhang
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Summary

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization is a scholarly article[1].

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). Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. Retrieved October 20, 2026, from https://4ort.xyz/entity/data-augmentation-for-abstractive-query-focused-multi-document-summarization
MLA “Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/data-augmentation-for-abstractive-query-focused-multi-document-summarization.
BibTeX @misc{4ortxyz_data-augmentation-for-abstractive-query-focused-multi-document-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data Augmentation for Abstractive Query-Focused Multi-Document Summarization}}, year = {2026}, url = {https://4ort.xyz/entity/data-augmentation-for-abstractive-query-focused-multi-document-summarization}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data Augmentation for Abstractive Query-Focused Multi-Document Summarization — https://4ort.xyz/entity/data-augmentation-for-abstractive-query-focused-multi-document-summarization (retrieved 2026-10-20)

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