Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Table 2. Performance comparison in the open-world crowdsourcing evaluation on 1,000 sampled items. Octet achieves significantly higher precision and best F1 score.
['[BOLD] Method', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F1']
Octet again achieves much higher precision and F1 score than the baseline methods. AutoPhrase obtains higher recall as we found that it tends to extract multiple terms in each sample, whereas there is usually one item type. The recall of all the compared methods is still relatively low, which is possibly due to the conciseness and noise in the item titles (recall examples in Fig.