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自然言語理解 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "自然言語理解" in Japanese language version.

refsWebsite
Global rank Japanese rank
1aaai.org
9,352nd place
low place
1handle.net
102nd place
78th place
1berkeley.edu
580th place
1,954th place
1ed.gov
576th place
2,946th place
1stanford.edu
179th place
608th place
1acm.org
1,185th place
2,667th place
1ieee.org
652nd place
1,307th place
1doi.org
2nd place
6th place
1worldcat.org
5th place
19th place
1yorku.ca
3,576th place
low place
1ntt.co.jp
low place
3,386th place
1github.com
383rd place
521st place
1ilu.co.jp
low place
low place
1nuance.com
low place
low place

aaai.org

acm.org

portal.acm.org

  • Larry R. Harris, Research at the Artificial Intelligence corp. ACM SIGART Bulletin, issue 79, January 1982 [2]

berkeley.edu

aima.cs.berkeley.edu

doi.org

  • Samant, Rahul Manohar; Bachute, Mrinal R.; Gite, Shilpa; Kotecha, Ketan (2022). “Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions”. IEEE Access 10: 17078–17097. doi:10.1109/ACCESS.2022.3149798. ISSN 2169-3536. https://ieeexplore.ieee.org/document/9706456/. 

ed.gov

eric.ed.gov

github.com

handle.net

hdl.handle.net

ieee.org

ieeexplore.ieee.org

  • Samant, Rahul Manohar; Bachute, Mrinal R.; Gite, Shilpa; Kotecha, Ketan (2022). “Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions”. IEEE Access 10: 17078–17097. doi:10.1109/ACCESS.2022.3149798. ISSN 2169-3536. https://ieeexplore.ieee.org/document/9706456/. 

ilu.co.jp

ntt.co.jp

nuance.com

japan.nuance.com

stanford.edu

hci.stanford.edu

  • Terry Winograd's SHRDLU page at Stanford SHRDLU

worldcat.org

search.worldcat.org

  • Samant, Rahul Manohar; Bachute, Mrinal R.; Gite, Shilpa; Kotecha, Ketan (2022). “Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions”. IEEE Access 10: 17078–17097. doi:10.1109/ACCESS.2022.3149798. ISSN 2169-3536. https://ieeexplore.ieee.org/document/9706456/. 

yorku.ca

  • Building Working Models of Full Natural-Language Understanding in Limited Pragmatic Domains by James Mason 2010 [3]