Deep reinforcement learning for extractive document summarization

Research article (Neurocomputing, 2018) · cited 87× · AI/ML

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Deep reinforcement learning for extractive document summarization

Summary

Deep reinforcement learning for extractive document summarization is a scholarly article^[1].

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Deep reinforcement learning for extractive document summarization's instance of is recorded as scholarly article^[2].

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Authored by 4

Kaichun Yao, Libo Zhang, Tiejian Luo, Yanjun Wu

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Kaichun Yao, Libo Zhang, Tiejian Luo, Yanjun Wu

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[2] ↑ Deep reinforcement learning for extractive document summarization — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Deep reinforcement learning for extractive document summarization is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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APA

4ort.xyz Knowledge Graph. (2026). Deep reinforcement learning for extractive document summarization. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-for-extractive-document-summarization

MLA

“Deep reinforcement learning for extractive document summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-for-extractive-document-summarization.

BibTeX

@misc{4ortxyz_deep-reinforcement-learning-for-extractive-document-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep reinforcement learning for extractive document summarization}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-for-extractive-document-summarization}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep reinforcement learning for extractive document summarization — https://4ort.xyz/entity/deep-reinforcement-learning-for-extractive-document-summarization (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deep-reinforcement-learning-for-extractive-document-summarization · Last refreshed: May 24, 2026