Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs

Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive. To address this, in this paper, we propose <bold>Tree-KGQA</bold>,...

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Bibliographic Details
Main Authors: Md Rashad Al Hasan Rony, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9770789/