Papers with lexicalization schemes

1 papers
Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar (N19-1)

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Challenge: Neural encoder-decoder architectures have shown promise for natural language generation.
Approach: They propose to generate words according to order of first appearance in lexicalized PCFG parse tree . they also combine neural model with symbolic approach to generate syntactic structure .
Outcome: The proposed method improves over sequence-to-sequence baseline in diversity and relevance.

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