Papers with neural variational language model

1 papers
Language Modeling with Shared Grammar (P19-1)

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Challenge: Recent work on structure-aware models have shown promising results on language modeling, but how to incorporate structure knowledge on corpus without syntactic annotations remains an open problem.
Approach: They propose a neural variational language model which enables the sharing of grammar knowledge among different corpora.
Outcome: The proposed model converges significantly faster to lower perplexity on two popular benchmark datasets.

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