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NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization

Research article (Proceedings of the Workshop on Noisy User-generated Text, 2015) · cited 32× · AI/ML
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NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization

Summary

NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization is a scholarly article[1].

Key Facts

  • NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization'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). NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization. Retrieved May 24, 2026, from https://4ort.xyz/entity/ncsu-sas-ning-candidate-generation-and-feature-engineering-for-supervised-lexical-normalization
MLA “NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ncsu-sas-ning-candidate-generation-and-feature-engineering-for-supervised-lexical-normalization.
BibTeX @misc{4ortxyz_ncsu-sas-ning-candidate-generation-and-feature-engineering-for-supervised-lexical-normalization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization}}, year = {2026}, url = {https://4ort.xyz/entity/ncsu-sas-ning-candidate-generation-and-feature-engineering-for-supervised-lexical-normalization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization — https://4ort.xyz/entity/ncsu-sas-ning-candidate-generation-and-feature-engineering-for-supervised-lexical-normalization (retrieved 2026-05-24)

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