BriefGPT.xyz
Feb, 2017
基于同步节点替换语法的AMR转文本生成
AMR-to-text Generation with Synchronous Node Replacement Grammar
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Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang, Daniel Gildea
TL;DR
本文通过利用同步节点替换语法来解决AMR-to-text生成任务,采用启发式提取算法来学习图形到字符串规则,在测试时,应用图形传导器来折叠输入AMR并生成输出句子。在SemEval-2016任务8上评估,我们的方法得到了25.62的BLEU分数,是目前报告的最佳结果。
Abstract
This paper addresses the task of
amr-to-text generation
by leveraging
synchronous node replacement grammar
. During training,
graph-to-string rule
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