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Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Research article (Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021) · cited 30× · AI/ML
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Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Summary

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling is a scholarly article[1].

Key Facts

  • Improving Unsupervised Extractive Summarization with Facet-Aware Modeling's instance of is recorded as scholarly article[2].

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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). Improving Unsupervised Extractive Summarization with Facet-Aware Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-unsupervised-extractive-summarization-with-facet-aware-modeling
MLA “Improving Unsupervised Extractive Summarization with Facet-Aware Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-unsupervised-extractive-summarization-with-facet-aware-modeling.
BibTeX @misc{4ortxyz_improving-unsupervised-extractive-summarization-with-facet-aware-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Unsupervised Extractive Summarization with Facet-Aware Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/improving-unsupervised-extractive-summarization-with-facet-aware-modeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving Unsupervised Extractive Summarization with Facet-Aware Modeling — https://4ort.xyz/entity/improving-unsupervised-extractive-summarization-with-facet-aware-modeling (retrieved 2026-05-24)

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