Жасырын айнымалы модельдер

Latent variable models have the potential to add value to large document collections by discovering interpretable, low-dimensional subspaces. In order for people to use such models, however, they must trust …...

This paper investigates novel methods for in- corporating syntactic information in proba- bilistic latent variable models of lexical choice and contextual similarity. The resulting mod- els capture the effects of …...

We describe a novel max-margin learn- ing approach to optimize non-linear perfor- mance measures for distantly-supervised re- lation extraction models. Our approach can be generally used to learn latent variable …...

AbstractKnowledge selection plays an important role in knowledge-grounded dialogue, which is a challenging task to generate more informative responses by leveraging external knowledge. Recently, latent variable models have been proposed …...

AbstractLatent variable models for text, when trained successfully, accurately model the data distribution and capture global semantic and syntactic features of sentences. The prominent approach to train such models is …...