A Fast Variational Approach for Learning Markov Random Field Language Models
International Conference on Machine Learning, 2015.
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
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