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Evaluating large language models on a hermeneutically complex text annotation task

The study examines whether large language models (LLMs) are capable of interpreting individual framings of depression in online forums - a challenging annotation task involving categories that are neither mutually exclusive nor trivial from a hermeneutic perspective. Using a corpus annotated by two...

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Bibliografski detalji
Glavni autori: Alexandra Fodor, Eszter Katona, Renáta Németh
Format: Artigo
Jezik:Inglês
Izdano: Elsevier 2026-06-01
Serija:Ampersand
Teme:
Online pristup:http://www.sciencedirect.com/science/article/pii/S2215039026000172
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