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Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions—A Trial Dataset Cover

Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions—A Trial Dataset

Journal of Data and Information Science
Volume 6 (2021): Issue 3 (June 2021)
By: Jennifer D’Souza and  Sören Auer  
Open Access
|May 2021

Authors

Jennifer D’Souza

jennifer.dsouza@tib.eu

TIB Leibniz Information Centre for Science and Technology, Hannover, Germany

Sören Auer

TIB Leibniz Information Centre for Science and Technology, Hannover, Germany
DOI: https://doi.org/10.2478/jdis-2021-0023 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 6 - 34
Submitted on: Oct 28, 2020
Accepted on: Apr 14, 2021
Published on: May 9, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Scholarly knowledge graphs,
Open science graphs,
Knowledge representation,
Natural language processing,
Semantic publishing
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2021 Jennifer D’Souza, Sören Auer, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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