Papers by Valerie Hajdik

1 papers
Neural Text Generation from Rich Semantic Representations (N19-1)

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Challenge: 2 is a neural model that maps a linearization of Dependency MRS to text . 1 is based on a BLEU score of 66.11 when trained on gold data .
Approach: They propose to use Minimal Recursion Semantics to generate high-quality text from structured representations.
Outcome: The proposed model achieves a BLEU score of 77.17 on the full test set and 83.37 on the subset of test data most closely matching the silver data domain.

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