Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Table 6. Open-world expert evaluation. Note that the seemingly low absolute performance is comparable to results on other datasets (Bansal et al., 2014; Mao et al., 2018) due to the difficulty of the task.
['[BOLD] Method', '[BOLD] Edge-F1', '[BOLD] Ancestor-F1']
Perhaps unsurprisingly, the performance of each method is lower than that under the closed-world evaluation, since the distributions of the existing terms on T and the newly extracted terms are largely different (shown in Sec. Octet again achieves the best performance thanks to its better generalizability.