1 Motivated by the intuition that a dialog intent is not only expressed in the user query utterance but also captured in the rest of the dialog, we split a conversation into two independent views and exploit multi-view clustering techniques for inducing the dialog intent.
we propose alternating-view k-means (AV-KMEANS) for joint multi-view representation learning and clustering analysis.