论文标题
关于医学领域问题分类方法的研究
Research on Question Classification Methods in the Medical Field
论文作者
论文摘要
问题分类是问题和答案系统研究中的重要链接之一。现有的问题分类模型对公共数据集进行了更多培训。目前，在特定领域，尤其是在医学领域中缺乏问题分类数据集。为了弥补这一差距，本文介绍了医学领域中问题分类的数据集。此外，本文提出了通过组合多个神经网络模型来对问题特征进行多维提取，并提出了一个基于多维特征提取的问题分类模型。实验结果表明，所提出的方法可以有效地改善问题分类的性能。
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.
