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The CSO Classifier: Ontology-Driven Detection of Research Topics in
  Scholarly Articles

The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles

International Conference on Theory and Practice of Digital Libraries (TPDL), 2019
2 April 2021
Angelo Salatino
Francesco Osborne
Thiviyan Thanapalasingam
Enrico Motta
ArXiv (abs)PDFHTML

Papers citing "The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles"

17 / 17 papers shown
SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
Jennifer D’Souza
Sameer Sadruddin
Holger Israel
Mathias Begoin
Diana Slawig
684
19
0
09 Apr 2025
Natural Language Querying System Through Entity Enrichment
Natural Language Querying System Through Entity Enrichment
Joshua Amavi
Mirian Halfeld Ferrari
Nicolas Hiot
262
4
0
21 Oct 2024
Efficient Few-shot Learning for Multi-label Classification of Scientific
  Documents with Many Classes
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many ClassesInternational Conference on Natural Language and Speech Processing (ICNLSP), 2024
Tim Schopf
Alexander Blatzheim
Nektarios Machner
Florian Matthes
VLM
416
5
0
08 Oct 2024
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
Robert Hoehndorf
Yuan He
Ian Horrocks
629
26
0
16 Jun 2024
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Xuemei Gu
Mario Krenn
AI4CE
407
25
0
13 Feb 2024
We are Who We Cite: Bridges of Influence Between Natural Language
  Processing and Other Academic Fields
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic FieldsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jan Philip Wahle
Terry Ruas
Mohamed Abdalla
Bela Gipp
Saif M. Mohammad
AI4CE
313
25
0
23 Oct 2023
Beyond original Research Articles Categorization via NLP
Beyond original Research Articles Categorization via NLP
Rosanna Turrisi
219
1
0
13 Sep 2023
SKG: A Versatile Information Retrieval and Analysis Framework for
  Academic Papers with Semantic Knowledge Graphs
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs
Yamei Tu
Rui Qiu
Hang Shen
222
3
0
07 Jun 2023
Construction of Knowledge Graphs: State and Challenges
Construction of Knowledge Graphs: State and Challenges
Marvin Hofer
Daniel Obraczka
A. Saeedi
Hanna Köpcke
Erhard Rahm
402
70
0
22 Feb 2023
Predicting the Future of AI with AI: High-quality link prediction in an
  exponentially growing knowledge network
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge networkNature Machine Intelligence (Nat. Mach. Intell.), 2022
Mario Krenn
L. Buffoni
B. Coutinho
S. Eppel
J. Foster
...
Ngoc M. Tran
Francisco Valente
Yangxinyu Xie
Rose Yu
Michael K Kopp
263
83
0
23 Sep 2022
Characterising Research Areas in the field of AI
Characterising Research Areas in the field of AI
Alessandra Belfiore
Angelo Salatino
Francesco Osborne
133
4
0
26 May 2022
Topical Classification of Food Safety Publications with a Knowledge Base
Topical Classification of Food Safety Publications with a Knowledge Base
Piotr Sowiński
Katarzyna Wasielewska-Michniewska
M. Ganzha
M. Paprzycki
195
3
0
02 Jan 2022
Improving Editorial Workflow and Metadata Quality at Springer Nature
Improving Editorial Workflow and Metadata Quality at Springer NatureInternational Workshop on the Semantic Web (SW), 2019
Angelo Salatino
Francesco Osborne
Aliaksandr Birukou
Enrico Motta
177
35
0
24 Mar 2021
Generating Knowledge Graphs by Employing Natural Language Processing and
  Machine Learning Techniques within the Scholarly Domain
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly DomainFuture generations computer systems (FGCS), 2020
D. Dessí
Francesco Osborne
Diego Reforgiato Recupero
Davide Buscaldi
Enrico Motta
207
105
0
28 Oct 2020
Exploiting Knowledge Graphs for Facilitating Product/Service Discovery
Exploiting Knowledge Graphs for Facilitating Product/Service Discovery
Sarika Jain
88
5
0
11 Oct 2020
An AI based talent acquisition and benchmarking for job
An AI based talent acquisition and benchmarking for job
Rudresh Mishra
R. Rodriguez
Valentin Portillo
61
5
0
12 Aug 2020
The Evolution of IJHCS and CHI: A Quantitative Analysis
The Evolution of IJHCS and CHI: A Quantitative Analysis
Andrea Mannocci
Francesco Osborne
Enrico Motta
132
21
0
12 Aug 2019
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