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Improving AMR Parsing with Sequence-to-Sequence Pre-training
In the literature, the research on abstract meaning representation (AMR)...
10/05/2020 ∙ by Dongqin Xu, et al. ∙
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Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Fully supervised neural approaches have achieved significant progress in...
07/16/2020 ∙ by Ning Ding, et al. ∙
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Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Recent studies on AMR-to-text generation often formalize the task as a s...
08/31/2019 ∙ by Jie Zhu, et al. ∙
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Learning When to Attend for Neural Machine Translation
In the past few years, attention mechanisms have become an indispensable...
05/31/2017 ∙ by Junhui Li, et al. ∙
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Modeling Source Syntax for Neural Machine Translation
Even though a linguistics-free sequence to sequence model in neural mach...
05/02/2017 ∙ by Junhui Li, et al. ∙
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