An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection

An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection

Relation detection plays a crucial role in knowledge base question answering, and it is challenging because of the high variance of relation expression in real-world questions. Traditional relation detection models based on deep learning follow an encoding-comparing paradigm, where the question and...

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Bibliographic Details
Main Authors: Hongzhi Zhang, Guandong Xu, Xiao Liang, Guangluan Xu, Feng Li, Kun Fu, Lei Wang, Tinglei Huang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Relation detection
knowledge base question answering
word-level interaction
attention
dynamic sample selection
Online Access:https://ieeexplore.ieee.org/document/8546730/

Internet

https://ieeexplore.ieee.org/document/8546730/

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