Knowledge Base Question Answering With a Matching-Aggregation Model and Question-Specific Contextual Relations
IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1629-1638, 2019.
EI WOS
Abstract:
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 ...More
Code:
Data:
Tags
Comments