Year: 2025
Type: conference-paper
Abstract: The SemEval-2025 Task 5 calls for the utilization of LLM capabilities to apply controlled subject labels to record descriptions in the multilingual library collection of the German National Library of Science and Technology. The multilingual BERT ensemble system described herein produces subject labels for various record types, including articles, books, conference papers, reports, and theses. For English language article records, bidirectional encoder-only LLMs demonstrate high recall in automated subject assignment.
Author: Hahn, Jim
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7220786171
