%0 Journal Article %A CAO Mingyu %A LI Qingqing %A YANG Zhihao %A WANG Lei %A ZHANG Yin %A LIN Hongfei %A WANG Jian %T A Question Answering System for Primary Liver Cancer Based on Knowledge Graph %D 2019 %R %J Journal of Chinese Information Processing %P 88-93 %V 33 %N 6 %X The question answering (QA) system based on medical KB has important research and application significance. Aimed at the primary liver cancer common in adults, this paper extracts related knowledge triples from the medical guides and SemMedDB to construct a KB of primary liver cancer. On this basis, a pipeline QA system is implemented. Firstly the system identifies the entity from the question. Then the sentence embedding is generated by combining TFIDF and the word embedding to select the most similar problem template. Finally the system retrieves the answer from the KB according to the semantics of the template and the entity in the question. The results show that, this system can effectively answer questions about drugs, diseases and symptoms related to primary liver cancer. %U http://jcip.cipsc.org.cn/EN/abstract/article_2785.shtml