Papers with well-understood sequence models

1 papers
Semantic graph parsing with recurrent neural network DAG grammars (D19-1)

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Challenge: Semantic parsing is the task of mapping natural language to machine interpretable meaning representations.
Approach: They propose a graph-aware sequence model that generates only well-formed graphs . their model is based on a multilingual semantic graphbank .
Outcome: The proposed model yields competitive results in English and establishes the first results for German, Italian and Dutch.

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