Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations

28 May 2017Rik van NoordJohan Bos

We evaluate the character-level translation method for neural semantic parsing on a large corpus of sentences annotated with Abstract Meaning Representations (AMRs). Using a sequence-to-sequence model, and some trivial preprocessing and postprocessing of AMRs, we obtain a baseline accuracy of 53.1 (F-score on AMR-triples)... (read more)

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