Coding with the machines: machine-assisted coding of rare event data

Abstract While machine coding of data has dramatically advanced in recent years, the literature raises significant concerns about validation of LLM classification showing, for example, that reliability varies greatly by prompt and temperature tuning, across subject areas and tasks—especially in “zer...

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Vydáno v:	PNAS nexus Ročník 3; číslo 5; s. pgae165
Hlavní autoři:	Overos, Henry David, Hlatky, Roman, Pathak, Ojashwi, Goers, Harriet, Gouws-Dewar, Jordan, Smith, Katy, Chew, Keith Padraic, Birnir, Jóhanna K, Liu, Amy H
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	US Oxford University Press 01.05.2024
Témata:	Accuracy Algorithms Coders Coding Datasets Dictionaries Electronic data processing Engineering Language Large language models Machine learning Methods Minority & ethnic groups Performance assessment Performance evaluation Politics Prompt engineering Social and Political Sciences United States GPT BERT machine coding machine learning political event data
ISSN:	2752-6542, 2752-6542
On-line přístup:	Získat plný text
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