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  • Search: subject:"Data annotation"
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Year of publication
Subject
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Data annotation 3 Data quality 2 Human annotation 2 Research synthesis 2 Training data 2 Artificial intelligence 1 Automatic automation 1 Automation 1 Automatisierung 1 Classification 1 Computerized method 1 Computerunterstützung 1 Crowd management 1 Klassifikation 1 Künstliche Intelligenz 1 SuperAnnotate 1
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Online availability
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Free 3 CC license 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Article 1
Language
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English 3
Author
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Beck, Jacob 2 Arya, Shwetank 1 Thakur, Amrish 1
Published in...
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AStA Wirtschafts- und Sozialstatistisches Archiv 1 Data science and management : DSM 1 Wirtschafts- und sozialstatistisches Archiv : eine Zeitschrift der Deutschen Statistischen Gesellschaft 1
Source
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ECONIS (ZBW) 2 EconStor 1
Showing 1 - 3 of 3
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Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence
Thakur, Amrish; Arya, Shwetank - In: Data science and management : DSM 7 (2024) 4, pp. 340-348
Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods employed for data gathering and analysis can obstruct the replication and utilization of the...
Persistent link: https://www.econbiz.de/10015371163
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Quality aspects of annotated data
Beck, Jacob - In: AStA Wirtschafts- und Sozialstatistisches Archiv 17 (2023) 3, pp. 331-353
research and approaches to the collection of annotated training data. I look at data annotation and its quality confounders … illustrating the consequences for future research and applications of data annotation. The paper is intended give readers a …
Persistent link: https://www.econbiz.de/10015327433
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Quality aspects of annotated data : a research synthesis
Beck, Jacob - In: Wirtschafts- und sozialstatistisches Archiv : eine … 17 (2023) 3/4, pp. 331-353
Persistent link: https://www.econbiz.de/10014448109
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