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Jun, 2021
神经半-Markov CRF 用于单语词对齐
Neural semi-Markov CRF for Monolingual Word Alignment
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Wuwei Lan, Chao Jiang, Wei Xu
TL;DR
提供了一种新的神经半-Markov CRF对齐模型,它通过可变长度跨度统一了单词和短语对齐,通过人工注释创建了一个新的基准,显示出在现实设置下评估单语言对齐模型的性能, 并证明了该模型在自动文本简化和句对分类任务中具有良好的普适性和实用性。
Abstract
monolingual word alignment
is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-
text generation tasks
, such as paraphrase generation, text simplificati
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