维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

1篇 您的检索式：作者名="Encheng CHEN"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	Distinct but correct:generating diversified and entity-revised medical response显示文摘Medical dialogue generation(MDG)is applied for building medical dialogue systems for intelligent consultation.Such systems can communicate with patients in real time,thereby improving the efficiency of clinical diagnosis.However,predicting correct entities and correctly generating distinct responses remain a great challenge.Inspired by actual doctors'responses to patients,we consider MDG a two-stage task:entity prediction and dialogue generation.For entity prediction,we design an ent-mac post pre-training strategy by leveraging external medical entity knowledge to enhance the pre-trained model.For dialogue generation,we propose an entity-aware fusion MDG method in which predicted entities are integrated into the dialogue generation model through different encoding fusion mechanisms,using information from different sources.Because the diverse beam search algorithm can produce responses with entities that deviate from the predicted entities,an entity-revised diverse beam search is proposed to correct the entities entailed in the generated responses and make the generated responses more distinct.The experimental results on the China Conference on Knowledge Graph and Semantic Computing 2021(A/B tests)and the International Conference on Learning Representations 2021(online test)datasets show that the proposed method outperforms several state-of-the-art methods,which demonstrates its practicability and effectiveness.	Bin LI Bin SUN Shutao LI Encheng CHEN Hongru LIU Yixuan WENG Yongping BAI Meiling HU	2024	Science China(Information Sciences)2024，67，3：	0

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费