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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-5037.pdf