An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition

Research article (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023) · cited 51× · AI/ML
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An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition

Summary

An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition is a scholarly article[1].

Key Facts

  • An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition's instance of is recorded as scholarly article[2].

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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). An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-embarrassingly-easy-but-strong-baseline-for-nested-named-entity-recognition
MLA “An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-embarrassingly-easy-but-strong-baseline-for-nested-named-entity-recognition.
BibTeX @misc{4ortxyz_an-embarrassingly-easy-but-strong-baseline-for-nested-named-entity-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/an-embarrassingly-easy-but-strong-baseline-for-nested-named-entity-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition — https://4ort.xyz/entity/an-embarrassingly-easy-but-strong-baseline-for-nested-named-entity-recognition (retrieved 2026-05-24)

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