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Reference-Free Evaluation of Taxonomies

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Computer Science > Computation and Language

arXiv:2505.11470 (cs)
[Submitted on 16 May 2025 (v1), last revised 5 Jun 2026 (this version, v3)]

Title:Reference-Free Evaluation of Taxonomies

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Abstract:We introduce two reference-free metrics for quality evaluation of taxonomies in the absence of labels. The first metric evaluates robustness by calculating the correlation between semantic and taxonomic similarity, addressing error types not considered by existing metrics. The second uses Natural Language Inference to assess logical adequacy. Both metrics are tested on five taxonomies and are shown to correlate well with F1 against ground truth taxonomies. We further demonstrate that our metrics can predict downstream performance in hierarchical classification when used with label hierarchies.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2505.11470 [cs.CL]
  (or arXiv:2505.11470v3 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2505.11470
arXiv-issued DOI via DataCite

Submission history

From: Pascal Wullschleger [view email]
[v1] Fri, 16 May 2025 17:25:40 UTC (267 KB)
[v2] Tue, 6 Jan 2026 11:42:01 UTC (847 KB)
[v3] Fri, 5 Jun 2026 08:43:00 UTC (782 KB)
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