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Turkish abstractive text summarization using pretrained sequence-to-sequence models

Research article (Natural Language Engineering, 2022) · cited 24× · AI/ML
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Turkish abstractive text summarization using pretrained sequence-to-sequence models

Summary

Turkish abstractive text summarization using pretrained sequence-to-sequence models is a scholarly article[1].

Key Facts

  • Turkish abstractive text summarization using pretrained sequence-to-sequence models'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). Turkish abstractive text summarization using pretrained sequence-to-sequence models. Retrieved May 24, 2026, from https://4ort.xyz/entity/turkish-abstractive-text-summarization-using-pretrained-sequence-to-sequence-models
MLA “Turkish abstractive text summarization using pretrained sequence-to-sequence models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/turkish-abstractive-text-summarization-using-pretrained-sequence-to-sequence-models.
BibTeX @misc{4ortxyz_turkish-abstractive-text-summarization-using-pretrained-sequence-to-sequence-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Turkish abstractive text summarization using pretrained sequence-to-sequence models}}, year = {2026}, url = {https://4ort.xyz/entity/turkish-abstractive-text-summarization-using-pretrained-sequence-to-sequence-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Turkish abstractive text summarization using pretrained sequence-to-sequence models — https://4ort.xyz/entity/turkish-abstractive-text-summarization-using-pretrained-sequence-to-sequence-models (retrieved 2026-05-24)

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