Multi-task learning model for kazakh query understanding

HIGHLIGHTS

• who: Gulizada Haisa and Gulila Altenbek from the College of Information Science and Engineering, Xinjiang University, u00dcru00fcmqi, China have published the research work: Multi-Task Learning Model for Kazakh Query Understanding, in the Journal: Sensors 2022, 22, 9810. of /2022/
• what: The authors focus on the Kazakh QU task, where the corpora of the joint tasks training dataset are in the Kazakh language. The contributions of the paper are as follows: This paper proposes a deep multi-task learning model (MTQU) that can solve QC and NER tasks, and can learn the interaction mode between . . .
  

   

  

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