SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916753914724352 |
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| author | D'Souza, Jennifer Sadruddin, Sameer Israel, Holger Begoin, Mathias Slawig, Diana |
| author_facet | D'Souza, Jennifer Sadruddin, Sameer Israel, Holger Begoin, Mathias Slawig, Diana |
| contents | We present SemEval-2025 Task 5: LLMs4Subjects, a shared task on automated subject tagging for scientific and technical records in English and German using the GND taxonomy. Participants developed LLM-based systems to recommend top-k subjects, evaluated through quantitative metrics (precision, recall, F1-score) and qualitative assessments by subject specialists. Results highlight the effectiveness of LLM ensembles, synthetic data generation, and multilingual processing, offering insights into applying LLMs for digital library classification. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_07199 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog D'Souza, Jennifer Sadruddin, Sameer Israel, Holger Begoin, Mathias Slawig, Diana Computation and Language Artificial Intelligence Digital Libraries Machine Learning We present SemEval-2025 Task 5: LLMs4Subjects, a shared task on automated subject tagging for scientific and technical records in English and German using the GND taxonomy. Participants developed LLM-based systems to recommend top-k subjects, evaluated through quantitative metrics (precision, recall, F1-score) and qualitative assessments by subject specialists. Results highlight the effectiveness of LLM ensembles, synthetic data generation, and multilingual processing, offering insights into applying LLMs for digital library classification. |
| title | SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog |
| topic | Computation and Language Artificial Intelligence Digital Libraries Machine Learning |
| url | https://arxiv.org/abs/2504.07199 |