Identifying Explicit Discourse Connectives in German

Peter Bourgonje, Manfred Stede


Abstract
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.
Anthology ID:
W18-5037
Volume:
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Kazunori Komatani, Diane Litman, Kai Yu, Alex Papangelis, Lawrence Cavedon, Mikio Nakano
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
327–331
Language:
URL:
https://aclanthology.org/W18-5037
DOI:
10.18653/v1/W18-5037
Bibkey:
Cite (ACL):
Peter Bourgonje and Manfred Stede. 2018. Identifying Explicit Discourse Connectives in German. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pages 327–331, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Identifying Explicit Discourse Connectives in German (Bourgonje & Stede, SIGDIAL 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-5037.pdf