Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866917112768888832 |
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| author | Cao, Zhihan Yamada, Hiroaki Teufel, Simone Tokunaga, Takenobu |
| author_facet | Cao, Zhihan Yamada, Hiroaki Teufel, Simone Tokunaga, Takenobu |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_02138 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition Cao, Zhihan Yamada, Hiroaki Teufel, Simone Tokunaga, Takenobu Computation and Language 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. |
| title | Misalignment of Semantic Relation Knowledge between WordNet and Human Intuition |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2412.02138 |