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Stacked Sentence-Document Classifier Approach for Improving Native Language Identification

Research article (Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017) · cited 20× · AI/ML
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Stacked Sentence-Document Classifier Approach for Improving Native Language Identification

Summary

Stacked Sentence-Document Classifier Approach for Improving Native Language Identification is a scholarly article[1].

Key Facts

  • Stacked Sentence-Document Classifier Approach for Improving Native Language Identification'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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APA 4ort.xyz Knowledge Graph. (2026). Stacked Sentence-Document Classifier Approach for Improving Native Language Identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/stacked-sentence-document-classifier-approach-for-improving-native-language-identification
MLA “Stacked Sentence-Document Classifier Approach for Improving Native Language Identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stacked-sentence-document-classifier-approach-for-improving-native-language-identification.
BibTeX @misc{4ortxyz_stacked-sentence-document-classifier-approach-for-improving-native-language-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stacked Sentence-Document Classifier Approach for Improving Native Language Identification}}, year = {2026}, url = {https://4ort.xyz/entity/stacked-sentence-document-classifier-approach-for-improving-native-language-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Stacked Sentence-Document Classifier Approach for Improving Native Language Identification — https://4ort.xyz/entity/stacked-sentence-document-classifier-approach-for-improving-native-language-identification (retrieved 2026-05-24)

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