Home › Entities › academia › SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling

SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling

Research article (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020) · cited 118× · AI/ML
academia openalex:W3027026357
Press Enter · cited answer in seconds

SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling

Summary

SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling is a scholarly article[1].

Key Facts

  • SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling'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). SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling
MLA “SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling.
BibTeX @misc{4ortxyz_seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling}}, year = {2026}, url = {https://4ort.xyz/entity/seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling — https://4ort.xyz/entity/seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/seqvat-virtual-adversarial-training-for-semi-supervised-sequence-labeling · Last refreshed: