Research on Extractive Q&A Model for Traditional Chinese Medicine Knowledge Based on PERT
The field of Traditional Chinese Medicine(TCM)has accumulated a wealth of knowledge and experience,but how to accurately extract TCM knowledge from these massive and profound TCM materials has always been a challenge in the medical field.In order to provide an efficient and accurate method for extracting traditional Chinese medicine knowledge,a traditional Chinese medicine knowledge extractive Q&A Model based on the PERT model is proposed.The method relies on professional knowledge and enhanced datasets in the field of TCM,and uses the PERT model and disordered language to pre-training task,and a Q&A model with strong reading comprehension of TCM knowledge is realized.Experiment results show that the Q&A performance of this model on the TCM knowledge dataset outperforms that of other related models,and it can understand and give the corresponding answers more accurately when the TCM knowledge text and questions are given.
国家科技期刊平台
NSTL
万方数据
