Exploiting a lexical resource for discourse connective disambiguation in German
Exploiting a lexical resource for discourse connective disambiguation in German
复制标题
DOI：
10.18653/v1/2020.coling-main.505
复制
发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Peter Bourgonje;Manfred Stede
中科院分区：
文献类型：
--
作者：
Peter Bourgonje;Manfred Stede
在本文中，我们专注于连接识别和意义分类明确的话语关系在德国，作为两个单独的子任务的总体浅层话语分析任务。我们相继增加了一个纯粹的经验方法的基础上语境化的嵌入与语言知识编码在一个连接词汇。通过这种方式，我们改进了已发表的连接识别结果，最终获得了87.93的F1分数;据我们所知，我们介绍了德国意义分类的第一个结果，获得了87.13的F1分数。我们的方法表明，一个连接词汇可以是一个有价值的资源，这些语言没有一个大的PDTB风格的注释coprus可用。
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 F1-score of 87.93; and we introduce, to the best of our knowledge, first results for German sense classification, achieving an F1-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.