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Feb, 2021
基于序列标注的自顶向下篇章分析
Top-down Discourse Parsing via Sequence Labelling
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Fajri Koto, Jey Han Lau, Timothy Baldwin
TL;DR
本研究介绍了一种自上而下的话语分析方法,该方法的目标是将文档迭代地分段成个体话语单元,这种方法不仅消除了解码器,而且减少了划分点的搜索空间,同时使用了LSTM模型,在全指标下达到了最新的RST分析结果。
Abstract
We introduce a top-down approach to
discourse parsing
that is conceptually simpler than its predecessors (Kobayashi et al., 2020; Zhang et al., 2020). By framing the task as a
sequence labelling
problem where the
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