A Semantics-Guided and Spatial-Aware Framework for Natural Resources Geo-Analytical Question Answering
Author:
Affiliation:
1. Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing,Wuhan,P. R. China,430079
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883649.pdf?arnumber=9883649
Reference8 articles.
1. Dense Passage Retrieval for Open-Domain Question Answering
2. SE‐KGE : A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting
3. Parameterized Spatial SQL Translation for Geographic Question Answering
4. Template-Based Question Answering over Linked Geospatial Data
5. Mutual Attention Inception Network for Remote Sensing Visual Question Answering
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1. Integrating Web 3.0 Technologies for Advanced Information Retrieval Systems in the Educational Sector;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23
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