Online Back-Parsing for AMR-to-Text Generation

AMR-to-text generation aims to recover a text containing the same meaning as an input AMR graph. Current research develops increasingly powerful graph encoders to better represent AMR graphs, with decoders based on standard language modeling being used to generate outputs... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Data-to-Text Generation LDC2017T10 Online Back-Parsing BLEU 34.19 # 4

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