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.
CITATION STYLE
Bourgonje, P., & Stede, M. (2018). Identifying explicit discourse connectives in German. In SIGDIAL 2018 - 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue - Proceedings of the Conference (pp. 327–331). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-5037
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