Computational linguistics with deep-learning-based intent detection for natural language understanding

HIGHLIGHTS

  • who: Hala J. Alshahrani and collaborators from the Department of Applied Linguistics, College of Languages, Princess Nourah Bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the article: Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding, in the Journal: (JOURNAL)
  • what: The authors propose Computational Linguistics with Deep-Learning-Based Intent Detection and Classification (CL-DLBIDC) for natural language understanding. This study has presented a new CL-DLBIDC approach to detect and classify intent for natural language understanding.
  • how: This article proposes Computational Linguistics with Deep-Learning-Based Intent . . .

     

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