Scalable Probabilistic Entity-Topic Modeling

CoRR, 2013.

Cited by: 4|Views10
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Abstract:

We present an LDA approach to entity disambiguation. Each topic is associated with a Wikipedia article and topics generate either content words or entity mentions. Training such models is challenging because of the topic and vocabulary size, both in the millions. We tackle these problems using a novel distributed inference and represent...More

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