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Toward Cross-theory Discourse Relation Annotation

机译:走向跨理论的话语关系注释

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摘要

In this exploratory study, we attempt to automatically induce PDTB-style relations from RST trees. We work with a German corpus of news commentary articles, annotated for RST trees and explicit PDTB-style relations and we focus on inducing the implicit relations in an automated way. Preliminary results look promising as a high-precision (but low-recall) way of finding implicit relations where no shallow structure is annotated at all, but mapping proves more difficult in cases where EDUs and relation arguments overlap, yet do not seem to signal the same relation.
机译:在此探索性研究中,我们尝试自动从RST树中诱发PDTB风格的关系。我们使用德国新闻评论文章语料库进行工作,这些文章具有RST树和显式的PDTB风格的注释,我们致力于以自动方式引入隐式关系。初步结果看似是一种高精度(但召回率较低)的方法,该方法可以找到根本没有注释浅层结构的隐式关系,但是在EDU和关系参数重叠但似乎不发出信号的情况下,映射更加困难相同的关系。

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