A hierarchical intent clustering algorithm is reported to stabilize on about 20,400 of 44,112 food-domain questions, but the supporting metrics are self-defined and not externally validated.
Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: Minimally Supervised Hierarchical Domain Intent Learning for CRS 15 an Application to Intent Clustering
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Minimally Supervised Hierarchical Domain Intent Learning for CRS
A hierarchical intent clustering algorithm is reported to stabilize on about 20,400 of 44,112 food-domain questions, but the supporting metrics are self-defined and not externally validated.