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A Discriminative Latent Variable Model for Online Clustering

2020-03-04 | |  90 |   50 |   0

Abstract

This paper presents a latent variable structured prediction model for discriminative supervised clustering of items called the Latent Left-linking Model (图片.png M). We present an online clustering algorithm for 图片.png M based on a feature-based item similarity function. We provide a learning framework for estimating the similarity function and present a fast stochastic gradient-based learning technique. In our experiments on coreference resolution and document clustering, 图片.png M outperforms several existing online as well as batch supervised clustering techniques.

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