Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023) · cited 16× · AI/ML
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Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

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Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. Retrieved May 24, 2026, from https://4ort.xyz/entity/extractive-is-not-faithful-an-investigation-of-broad-unfaithfulness-problems-in-extractive-summarization
MLA “Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extractive-is-not-faithful-an-investigation-of-broad-unfaithfulness-problems-in-extractive-summarization.
BibTeX @misc{4ortxyz_extractive-is-not-faithful-an-investigation-of-broad-unfaithfulness-problems-in-extractive-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization}}, year = {2026}, url = {https://4ort.xyz/entity/extractive-is-not-faithful-an-investigation-of-broad-unfaithfulness-problems-in-extractive-summarization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization — https://4ort.xyz/entity/extractive-is-not-faithful-an-investigation-of-broad-unfaithfulness-problems-in-extractive-summarization (retrieved 2026-05-24)

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