A Fast Variational Approach for Learning Markov Random Field Language Models

International Conference on Machine Learning, 2015.

Cited by: 23|Views54
EI

Abstract:

Language modelling is a fundamental building block of natural language processing. However, in practice the size of the vocabulary limits the distributions applicable for this task: specifically, one has to either resort to local optimization methods, such as those used in neural language models, or work with heavily constrained distribut...More

Code:

Data:

Your rating :
0

 

Tags
Comments