Improving Topic Models with Latent Feature Word Representations

no code implementations • TACL 2015 • Dat Quoc Nguyen, Richard Billingsley, Lan Du, Mark Johnson

Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high performance in many NLP tasks.

Clustering Document Classification +2

Improvements to Training an RNN parser

no code implementations • COLING 2012 • Richard Billingsley, James Curran