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

Yunshi Lan
Yunshi Lan

IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 1629-1638, 2019.

Cited by: 0|Bibtex|Views73|DOI:https://doi.org/10.1109/TASLP.2019.2926125
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Other Links: dblp.uni-trier.de|academic.microsoft.com

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

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