Research on Question Classification Methods in the Medical Field
This work provides a dataset and model for question classification in the medical domain, which is incremental as it adapts existing methods to a new field.
The paper addresses the lack of a question classification dataset in the medical field by presenting a new dataset and proposes a model using multi-dimensional feature extraction with multiple neural networks, showing it effectively improves classification performance.
Question classification is one of the important links in the research of question and answering system. The existing question classification models are more trained on public data sets. At present, there is a lack of question classification data sets in specific fields, especially in the medical field. To make up for this gap, this paper presents a data set for question classification in the medical field. Moreover, this paper proposes a multi-dimensional extraction of the characteristics of the question by combining multiple neural network models, and proposes a question classification model based on multi-dimensional feature extraction. The experimental results show that the proposed method can effectively improve the performance of question classification.