AMR-to-text generation as a Traveling Salesman Problem

EMNLP 2016 Linfeng SongYue ZhangXiaochang PengZhiguo WangDaniel Gildea

The task of AMR-to-text generation is to generate grammatical text that sustains the semantic meaning for a given AMR graph. We at- tack the task by first partitioning the AMR graph into smaller fragments, and then generating the translation for each fragment, before finally deciding the order by solving an asymmetric generalized traveling salesman problem (AGTSP)... (read more)

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