Toward Cross-theory Discourse Relation Annotation

Peter Bourgonje, Olha Zolotarenko
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引用次数: 3

Abstract

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 there is no shallow structure 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.
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跨理论话语关系注释研究
在这一探索性研究中,我们尝试从RST树中自动导出pdtb类型的关系。我们使用德语新闻评论文章语料库,对RST树和显式pdtb风格的关系进行了注释,并专注于以自动方式诱导隐含关系。初步结果看起来很有希望作为一种高精度(但低召回率)的方法来查找根本没有注释的浅层结构的隐式关系,但是在edu和关系参数重叠的情况下,映射证明更加困难,但似乎没有表示相同的关系。
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