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基于RoBERTa-wwm-ext、TF-IDF与注意力机制融合的医疗查询意图分类混合 ...
为解决医疗检索场景中用户查询意图识别准确率不足的问题,研究人员开展了集成RoBERTa-wwm-ext、句子级TF-IDF和类别中心TF-IDF的三分支注意力融合模型研究。实验表明,该模型在KUAKE-QIC数据集上准确率达0.824,Macro-F1达0.800,较基线提升2.3个百分点,为临床问答系统 ...
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