10 citations · 34 across the 6 of their papers we have counts for
Showing 2017 · cs.CLShow all
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cs.CL2017★ 9 cited
Addressing the Data Sparsity Issue in Neural AMR Parsing
Xiaochang Peng, Chuan Wang, Daniel Gildea +1
Neural attention models have achieved great success in different NLP tasks. How- ever, they have not fulfilled their promise on the AMR parsing task due to the data sparsity issue.…
cs.CL2017★ 10 cited
AMR-to-text Generation with Synchronous Node Replacement Grammar
Linfeng Song, Xiaochang Peng, Yue Zhang +2
This paper addresses the task of AMR-to-text generation by leveraging synchronous node replacement grammar. During training, graph-to-string rules are learned using a heuristic ext…