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Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification

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 17× · AI/ML
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Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification

Summary

Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification is a scholarly article[1].

Key Facts

  • Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification'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). Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-unsupervised-pre-training-and-annotator-rationales-to-improve-low-shot-text-classification
MLA “Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-unsupervised-pre-training-and-annotator-rationales-to-improve-low-shot-text-classification.
BibTeX @misc{4ortxyz_combining-unsupervised-pre-training-and-annotator-rationales-to-improve-low-shot-text-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification}}, year = {2026}, url = {https://4ort.xyz/entity/combining-unsupervised-pre-training-and-annotator-rationales-to-improve-low-shot-text-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification — https://4ort.xyz/entity/combining-unsupervised-pre-training-and-annotator-rationales-to-improve-low-shot-text-classification (retrieved 2026-05-24)

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