Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
Author:
Affiliation:
1. Smart Data Analytics Research Group, University of Bonn, Bonn, Germany
2. Semantic Systems Group, University of Hamburg, Hamburg, Germany
Funder
SPEAKER
JOSEPH
OpenGPT-X
excellence clusters ML2R
ScaDS.AI
TAILOR
Federal Ministry for Economic Affairs and Energy of Germany in the Project CoyPu
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770789.pdf?arnumber=9770789
Reference54 articles.
1. Quaternion knowledge graph embeddings;zhang;Advances in neural information processing systems,2019
2. Billion-Scale Similarity Search with GPUs
3. PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
4. Key-Value Memory Networks for Directly Reading Documents
5. Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
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