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Cross-domain Generalization for AMR Parsing
Abstract Meaning Representation (AMR) parsing aims to predict an AMR graph from textual input. Recently, there has been notable growth …
Xuefeng Bai
,
Sen Yang
,
Leyang Cui
,
Linfeng Song
,
Yue Zhang
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Challenges to Open-Domain Constituency Parsing
Neural constituency parsers have reached practical performance on news-domain benchmarks. However, their generalization ability to …
Sen Yang
,
Leyang Cui
,
Ruoxi Ning
,
Di Wu
,
Yue Zhang
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Graph Pre-training for AMR Parsing and Generation
Abstract meaning representation (AMR) highlights the core semantic information of text in a graph structure.Recently, pre-trained …
Xuefeng Bai
,
Yulong Chen
,
Yue Zhang
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Investigating Non-local Features for Neural Constituency Parsing
Thanks to the strong representation power of neural encoders, neural chart-based parsers have achieved highly competitive performance …
Leyang Cui
,
Sen Yang
,
Yue Zhang
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