English

Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition

Computation and Language 2025-12-02 v2

Abstract

WordNet provides a carefully constructed repository of semantic relations, created by specialists. But there is another source of information on semantic relations, the intuition of language users. We present the first systematic study of the degree to which these two sources are aligned. Investigating the cases of misalignment could make proper use of WordNet and facilitate its improvement. Our analysis which uses templates to elicit responses from human participants, reveals a general misalignment of semantic relation knowledge between WordNet and human intuition. Further analyses find a systematic pattern of mismatch among synonymy and taxonomic relations~(hypernymy and hyponymy), together with the fact that WordNet path length does not serve as a reliable indicator of human intuition regarding hypernymy or hyponymy relations.

Keywords

Cite

@article{arxiv.2412.02138,
  title  = {Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition},
  author = {Zhihan Cao and Hiroaki Yamada and Simone Teufel and Takenobu Tokunaga},
  journal= {arXiv preprint arXiv:2412.02138},
  year   = {2025}
}

Comments

Accepted by Global WordNet Conference 2025

R2 v1 2026-06-28T20:20:46.626Z