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Cross-domain Generalization for AMR Parsing. (arXiv:2210.12445v1 [cs.CL])
Oct. 25, 2022, 1:18 a.m. | Xuefeng Bai, Seng Yang, Leyang Cui, Linfeng Song, Yue Zhang
cs.CL updates on arXiv.org arxiv.org
Abstract Meaning Representation (AMR) parsing aims to predict an AMR graph
from textual input. Recently, there has been notable growth in AMR parsing
performance. However, most existing work focuses on improving the performance
in the specific domain, ignoring the potential domain dependence of AMR parsing
systems. To address this, we extensively evaluate five representative AMR
parsers on five domains and analyze challenges to cross-domain AMR parsing. We
observe that challenges to cross-domain AMR parsing mainly arise from the
distribution shift …
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