A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Research article (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020) · cited 41× · AI/ML
Press Enter · cited answer in seconds

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Summary

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? is a scholarly article[1].

Key Facts

  • A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?'s instance of is recorded as scholarly article[2].

📑 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). A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land
MLA “A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land.
BibTeX @misc{4ortxyz_a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?}}, year = {2026}, url = {https://4ort.xyz/entity/a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? — https://4ort.xyz/entity/a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-rigorous-study-on-named-entity-recognition-can-fine-tuning-pretrained-model-lead-to-the-promised-land · Last refreshed: