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Enhancing Local Feature Extraction with Global Representation for Neural 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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APA4ort.xyz Knowledge Graph. (2026). Enhancing Local Feature Extraction with Global Representation for Neural Text Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-local-feature-extraction-with-global-representation-for-neural-text-classification
MLA“Enhancing Local Feature Extraction with Global Representation for Neural Text Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-local-feature-extraction-with-global-representation-for-neural-text-classification.
BibTeX@misc{4ortxyz_enhancing-local-feature-extraction-with-global-representation-for-neural-text-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Local Feature Extraction with Global Representation for Neural Text Classification}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-local-feature-extraction-with-global-representation-for-neural-text-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Local Feature Extraction with Global Representation for Neural Text Classification — https://4ort.xyz/entity/enhancing-local-feature-extraction-with-global-representation-for-neural-text-classification (retrieved 2026-05-24)