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Using deep learning models for learning semantic text similarity of Arabic questions

Research article (International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, 2021) · cited 11× · AI/ML
academia openalex:W3128114698
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Using deep learning models for learning semantic text similarity of Arabic questions

Summary

Using deep learning models for learning semantic text similarity of Arabic questions is a scholarly article[1].

Key Facts

  • Using deep learning models for learning semantic text similarity of Arabic questions'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). Using deep learning models for learning semantic text similarity of Arabic questions. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-deep-learning-models-for-learning-semantic-text-similarity-of-arabic-questions
MLA “Using deep learning models for learning semantic text similarity of Arabic questions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-deep-learning-models-for-learning-semantic-text-similarity-of-arabic-questions.
BibTeX @misc{4ortxyz_using-deep-learning-models-for-learning-semantic-text-similarity-of-arabic-questions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using deep learning models for learning semantic text similarity of Arabic questions}}, year = {2026}, url = {https://4ort.xyz/entity/using-deep-learning-models-for-learning-semantic-text-similarity-of-arabic-questions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using deep learning models for learning semantic text similarity of Arabic questions — https://4ort.xyz/entity/using-deep-learning-models-for-learning-semantic-text-similarity-of-arabic-questions (retrieved 2026-05-24)

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