This survey describes conditional random fields, a popular probabilistic method for structured prediction, including methods for inference and parameter estimation.Expand

We present what is to our knowledge the first effective AEVB based inference method for latent Dirichlet allocation (LDA), which we call Autoencoded Variational Inference For Topic Model (AVITM).Expand

We present dynamic conditional random fields (DCRFs) in which each time slice contains a set of state variables and edges---a distributed state representation as in dynamic Bayesian networks (DBNs)---and parameters are tied across slices.Expand

We introduce an attentional neural network that employs convolution on the input tokens to detect local time-invariant and long-range topical attention features in a context-dependent way.Expand

The tens of thousands of high-quality open source software projects on the Internet raise the exciting possibility of studying software development by finding patterns across truly large source code repositories.Expand

In information extraction, we often wish to identify all mentions of an entity, such as a person or organization, using dependencies between the labels of pairs of similar words in a document.Expand