Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations.

IEEE/ACM Transactions on Audio, Speech, and Language Processing(2019)

引用 55|浏览188
暂无评分
摘要
Making use of knowledge bases to answer questions (KBQA) is a key direction in question answering systems. Researchers have developed a diverse range of methods to address this problem, but there are still some limitations with the existing methods. Specifically, the existing neural network-based methods for KBQA have not taken advantage of the recent “matching-aggregation” framework for the seque...
更多
查看译文
关键词
Knowledge based systems,Natural languages,Semantics,Knowledge discovery,Task analysis,Context modeling,Neural networks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要