HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles-Reference-Cited by-同舟云学术

HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles

Published:2021-04-19 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2021
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Author:

Alam Mehwish¹,Biswas Russa²,Chen Yiyi¹,Dessì Danilo¹,Gesese Genet Asefa¹,Hoppe Fabian¹,Sack Harald¹

Affiliation:

1. FIZ-Karlsruhe, Leibniz Institute for Information Infrastructure, Karlsruhe Institute for Technology, Germany

2. FIZ-Karlsruhe, Leibniz Institute for Information InFIZ-Karlsruhe, Leibniz Institute for Information Infrastructure, Karlsruhe Institute for Technologyfrastructure, Karlsruhe Institute for Technology, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442442.3451365

Reference24 articles.

1. A Survey on Network Embedding

2. Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain

3. AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence

4. Mathematics Subject Classification 2020

5. Genet Asefa Gesese Russa Biswas Mehwish Alam and Harald Sack. 2019. A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?CoRR abs/1910.12507(2019). arxiv:1910.12507http://arxiv.org/abs/1910.12507 Genet Asefa Gesese Russa Biswas Mehwish Alam and Harald Sack. 2019. A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?CoRR abs/1910.12507(2019). arxiv:1910.12507http://arxiv.org/abs/1910.12507

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3. CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics;International Journal on Digital Libraries;2021-07-22

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