extreme multi-label classification 1generative ai 1german literature 1library science 1long-tail classification 1subject indexing 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature
Maximilian Kähler, Maximilian Kähler, Katja Konermann +2
The paper benchmarks supervised extreme multi-label classification methods against generative LLM approaches for automatically assigning subject headings to German scientific publi…
cs.CL2026
An Extreme Multi-label Text Classification (XMTC) Library Dataset: What if we took "Use of Practical AI in Digital Libraries" seriously?
Jennifer D'Souza, Sameer Sadruddin, Maximilian Kähler +5
Subject indexing is vital for discovery but hard to sustain at scale and across languages. We release a large bilingual (English/German) corpus of catalog records annotated with th…
cs.CL2025
DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
Lisa Kluge, Maximilian Kähler
This paper presents our system developed for the SemEval-2025 Task 5: LLMs4Subjects: LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog. Our…