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Knowledge-based question answering by tree-to-sequence learning

  • Published:2020-01 Issue: Volume:372 Page:64-72
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Zhu ShuguangORCID,Cheng Xiang,Su Sen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference38 articles.

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

2. Dbpedia: A nucleus for a web of open data;Auer,2007

3. Long short-term memory;Hochreiter;Neural Comput.,1997

4. Knowledge-based question answering by jointly generating, copying and paraphrasing;Zhu,2017

5. Template-based question answering over RDF data;Unger,2012

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1. Adapting Contrastive Learning with Feature Fusion for Complex Question Answering;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Knowledge-injected Stepwise Reasoning on Complex KBQA;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Improving Topic Tracing with a Textual Reader for Conversational Knowledge Based Question Answering;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

4. Event Assignment Based on KBQA for Government Service Hotlines;Applied Artificial Intelligence;2024-05-16

5. BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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