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Exploiting a lexical resource for discourse connective disambiguation in German

机译:利用德语中的话语结缔组迷的词汇资源

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In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task. We successively augment a purely-empirical approach based on contextualised embeddings with linguistic knowledge encoded in a connective lexicon. In this way, we improve over published results for connective identification, achieving a final F_1-score of 87.93; and we introduce, to the best of our knowledge, first results for German sense classification, achieving an F_1-score of 87.13. Our approach demonstrates that a connective lexicon can be a valuable resource for those languages that do not have a large PDTB-style-annotated coprus available.
机译:在本文中,我们专注于德语中明确的话语关系的结缔组态和感测分类,作为总体浅谈解析任务的两个单个子任务。 我们连续增强了基于中文化嵌入的纯粹实证方法,其中包含在结缔组织词典中编码的语言知识。 通过这种方式,我们改善了结核识别的公布结果,实现了87.93的最终F_1分数; 我们介绍了我们的知识,首先是德国义义分类的第一个结果,实现了87.13的F_1分数。 我们的方法展示了连接词汇,可以是那些没有大型PDTB风格的共同投资的语言的有价值的资源。

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