Identifying Explicit Discourse Connectives in German
Identifying Explicit Discourse Connectives in German
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DOI：
10.18653/v1/w18-5037
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Peter Bourgonje;Manfred Stede
中科院分区：
文献类型：
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作者：
Peter Bourgonje;Manfred Stede
我们正在研究德语的端到端浅层话语解析系统，本文重点关注第一个子任务：显式连接词的识别。从英语系统和随机森林分类器的特征集开始，我们在（相对较小的）德语注释语料库（波茨坦评论语料库）上评估我们的方法。我们引入了新功能并进行了实验，其中包括通过注释投影获得的额外训练数据，并实现了 83.89 的 f 分数。
We are working on an end-to-end Shallow Discourse Parsing system for German and in this paper focus on the first subtask: the identification of explicit connectives. Starting with the feature set from an English system and a Random Forest classifier, we evaluate our approach on a (relatively small) German annotated corpus, the Potsdam Commentary Corpus. We introduce new features and experiment with including additional training data obtained through annotation projection and achieve an f-score of 83.89.