This paper addresses the problem of segmenting German texts into minimal discourse units, as they are needed, for example, in RST-based discourse parsing. We discuss relevant variants of the problem, introduce the design of our annotation guidelines, and provide the results of an extensive inter-annotator agreement study of the corpus. Afterwards, we report on our experiments with three automatic classifiers that rely on the output of state-of-the-art parsers and use different amounts and kinds of syntactic knowledge: constituent parsing versus dependency parsing; tree-structure classification versus sequence labeling. Finally, we compare our approaches with the recent discourse segmentation methods proposed for English.
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Discourse Segmentation of German Texts
Semantic Scholar · Linguistics · 2015
Abstract
This paper addresses the problem of segmenting German texts into minimal discourse units, as they are needed, for example, in RST-based discourse parsing. We discuss relevant variants of the problem, introduce the design of our annotation guidelines, and provide the results of an extensive inter-annotator agreement study of the corpus. Afterwards, we report on our experiments with three automatic classifiers that rely on the output of state-of-the-art parsers and use different amounts and kinds of syntactic knowledge: constituent parsing versus dependency parsing; tree-structure classification versus sequence labeling. Finally, we compare our approaches with the recent discourse segmentation methods proposed for English.
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