Question-aware Graph Convolutional Network for Educational Knowledge Base Question Answering
In recent years, with the continuous informatization of education and the accumulation of massive education resources and teaching data, some educational knowledge bases have been proposed, which provides a good deve-lopment condition for data-driven intelligent education. The question answering met...
Main Author: | LIN Qika, ZHANG Lingling, LIU Jun, ZHAO Tianzhe |
---|---|
Format: | Article |
Language: | zho |
Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2021-10-01
|
Series: | Jisuanji kexue yu tansuo |
Subjects: | |
Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2911.shtml |
Similar Items
-
A Novel Knowledge Base Question Answering Method Based on Graph Convolutional Network and Optimized Search Space
by: Xia Hou, et al.
Published: (2022-11-01) -
A Quick Prototype for Assessing OpenIE Knowledge Graph-Based Question-Answering Systems
by: Giuseppina Di Paolo, et al.
Published: (2023-03-01) -
Survey of Question Answering Based on Knowledge Graph Reasoning
by: SA Rina, LI Yanling, LIN Min
Published: (2022-08-01) -
Retrieval-Augmented Knowledge Graph Reasoning for Commonsense Question Answering
by: Yuchen Sha, et al.
Published: (2023-07-01) -
Knowledge-Based Visual Question Answering Using Multi-Modal Semantic Graph
by: Lei Jiang, et al.
Published: (2023-03-01)