Improving a Pipeline Architecture for Shallow Discourse Parsing
Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth
- Anthology ID:
- K15-2012
- Volume:
- Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task
- Month:
- July
- Year:
- 2015
- Address:
- Beijing, China
- Venue:
- CoNLL
- SIG:
- SIGNLL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 78–83
- Language:
- URL:
- https://aclanthology.org/K15-2012
- DOI:
- 10.18653/v1/K15-2012
- Cite (ACL):
- Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, and Dan Roth. 2015. Improving a Pipeline Architecture for Shallow Discourse Parsing. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task, pages 78–83, Beijing, China. Association for Computational Linguistics.
- Cite (Informal):
- Improving a Pipeline Architecture for Shallow Discourse Parsing (Song et al., CoNLL 2015)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/K15-2012.pdf