Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models
Table 5: Accuracy on herb prediction
['Model', 'Accuracy']
The accuracy of N-gram model is even higher than RNNLM model, which shows that directly transfer the language modeling method from NLP may not be a good idea when predicting the next herb. CBOW model is slightly different from the original one, we average all the herb embeddings of the prescription, based on which we predict the blanked one. We assume the reason that it gives a rather good result is that it makes use of a wider range of context. In this experiment, our PLLM gets the best result, which is much higher than other models. We assume that it is necessary to consider the whole prescription when predicting the next herb.