ALSTM: An attention-based long short-term memory framework for knowledge base reasoning-Reference-Cited by-同舟云学术

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ALSTM: An attention-based long short-term memory framework for knowledge base reasoning

Published:2020-07 Issue: Volume:399 Page:342-351
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Wang Qi^ORCID,Hao Yongsheng^ORCID

Funder

Chinese National Funding of Social Sciences

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference60 articles.

1. R.R. Bakker, Knowledge Graphs: Representation and Structuring of Scientific Knowledge. 1987.

2. Freebase: a collaboratively created graph database for structuring human knowledge;Bollacker,2008

3. Learning structured embeddings of knowledge bases;Bordes,2011

4. Joint learning of words and meaning representations for open-text semantic parsing;Bordes,2012

5. Toward an architecture for never-ending language learning;Carlson,2010

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