Home › Entities › academia › Denoising based Sequence-to-Sequence Pre-training for Text Generation

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 26× · AI/ML
academia openalex:W2970972587
Press Enter · cited answer in seconds

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Summary

Denoising based Sequence-to-Sequence Pre-training for Text Generation is a scholarly article[1].

Key Facts

  • Denoising based Sequence-to-Sequence Pre-training for Text Generation's instance of is recorded as scholarly article[2].

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). Denoising based Sequence-to-Sequence Pre-training for Text Generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/denoising-based-sequence-to-sequence-pre-training-for-text-generation
MLA “Denoising based Sequence-to-Sequence Pre-training for Text Generation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/denoising-based-sequence-to-sequence-pre-training-for-text-generation.
BibTeX @misc{4ortxyz_denoising-based-sequence-to-sequence-pre-training-for-text-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Denoising based Sequence-to-Sequence Pre-training for Text Generation}}, year = {2026}, url = {https://4ort.xyz/entity/denoising-based-sequence-to-sequence-pre-training-for-text-generation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Denoising based Sequence-to-Sequence Pre-training for Text Generation — https://4ort.xyz/entity/denoising-based-sequence-to-sequence-pre-training-for-text-generation (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/denoising-based-sequence-to-sequence-pre-training-for-text-generation · Last refreshed: