SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
Scientific concepts are often defined inconsistently across papers, making it difficult to compare findings, reuse terminology, and build reliable downstream resources. We present SciDef, a resource suite for scientific definition extraction. The suite contains DefExtra, a benchmark of 268 human-validated author-stated definitions from 75 academic papers; DefSim, 60 human-labeled definition-pair similarity judgments; and an open LLM-based pipeline for PDF preprocessing, chunking, definition extraction, prompt optimization, and evaluation. We validate the resources by benchmarking 16 language models across prompting strategies and chunking schemes. The strongest set-level configuration ach...
| Authors | Filip Kučera, Christoph Mandl, Isao Echizen et al. |
|---|---|
| Primary category | cs.IR |
| Published | 5 February 2026 |
| Last updated at source | 11 June 2026 |
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- mediabiasgroup/DefExtraDataset
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