Annotating Opinions in German Political News
Hong Li, Xiwen Cheng, Kristina Adson, Tal Kirshboim, Feiyu Xu
Abstract
This paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task. The annotated corpus has been applied to learn relation extraction rules for extraction of opinion holders, opinion content and classification of polarities. An adapted annotated schema has been developed on top of the state-of-the-art research. Furthermore, a general tool for annotating relations has been utilized for the annotation task. An evaluation of the inter-annotator agreement has been conducted. The rule learning is realized with the help of a minimally supervised machine learning framework DARE.- Anthology ID:
- L12-1370
- Volume:
- Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
- Month:
- May
- Year:
- 2012
- Address:
- Istanbul, Turkey
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1183–1188
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/640_Paper.pdf
- DOI:
- Cite (ACL):
- Hong Li, Xiwen Cheng, Kristina Adson, Tal Kirshboim, and Feiyu Xu. 2012. Annotating Opinions in German Political News. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 1183–1188, Istanbul, Turkey. European Language Resources Association (ELRA).
- Cite (Informal):
- Annotating Opinions in German Political News (Li et al., LREC 2012)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/640_Paper.pdf