An Algorithm for Generating TCM Document Questions Based on Unified Language Model

Corresponding author: kangyishuai, k494377327@qq.com

DOI: 10.12201/bmr.202110.00044

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  Abstract: With the continuous development of natural language processing technology, automatic question generation as an important research topic has been implemented in many practical application scenarios. Automatic question generation can be used to efficiently build or supplement the knowledge base and expand the scale of the data set. The automatic generation of text has played an important role in many aspects. However, in the field of Chinese medicine, there are relatively few researches on the generation of Chinese medicine texts. Based on this background, this paper designs and implements a problem generation algorithm in the field of Chinese medicine.

  Key words: UniLM; adversarial training; random replacement

  Submit time: 21 February 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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• ID	Submit time	Number	Download
  1	2021-10-31	bmr.202110.00044V1	Download

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