Papers by Hugh Perkins

1 papers
Dialog Intent Induction with Deep Multi-View Clustering (D19-1)

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Challenge: Existing work assumes that dialog intents are expressed in query utterances and captured in the rest of the dialog.
Approach: They propose a dialog intent induction task and propose alternating-view k-means for clustering . they split a conversation into two independent views and exploit multi-view clustering techniques .
Outcome: The proposed approach can induce better dialog intent clusters than state-of-the-art clustering methods.

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