BriefGPT.xyz
Jul, 2017
生成神经语法分析的有效推论
Effective Inference for Generative Neural Parsing
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Mitchell Stern, Daniel Fried, Dan Klein
TL;DR
通过改进候选选择和使用粗略的修剪功能,我们描述了一种可行的搜索过程,及其用于Choe和Charniak(2016)模型的推理过程在Penn Treebank的23节上能够获得92.56 F1,超过以前的最先进结果。
Abstract
generative neural models
have recently achieved state-of-the-art results for
constituency parsing
. However, without a feasible
search procedure
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