Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
Table 2: The clustering results on three datasets. We evaluate both unsupervised and semi-supervised methods.
['[EMPTY]', 'Method', 'SNIPS NMI', 'SNIPS ARI', 'SNIPS ACC', 'DBPedia NMI', 'DBPedia ARI', 'DBPedia ACC', 'StackOverflow NMI', 'StackOverflow ARI', 'StackOverflow ACC']
The proposed CDAC+ method outperforms other baselines by a significant margin in all datasets and evaluation metrics. It shows that our method effectively groups sentences based on the intent representations learned with pairwise classification and constraints, and even can generalize to new intents that we do not know in advance.