Abstract
Wikipedia offers researchers unique insights into the collaboration and communication patterns of a large self-regulating community of editors. The main medium of direct communication between editors of an article is the article’s talk page. However, a talk page file is unstructured and therefore difficult to analyse automatically. A few parsers exist that enable its transformation into a structured data format. However, they are rarely open source, support only a limited subset of the talk page syntax – resulting in the loss of content – and usually support only one export format. Together with this article we offer a very fast, lightweight, open source parser with support for various output formats. In a preliminary evaluation it achieved a high accuracy. The parser uses a grammar-based approach – offering a transparent implementation and easy extensibility.- Anthology ID:
- E17-3006
- Volume:
- Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Editors:
- André Martins, Anselmo Peñas
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 21–24
- Language:
- URL:
- https://aclanthology.org/E17-3006
- DOI:
- Cite (ACL):
- Benjamin Cabrera, Laura Steinert, and Björn Ross. 2017. GraWiTas: a Grammar-based Wikipedia Talk Page Parser. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 21–24, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- GraWiTas: a Grammar-based Wikipedia Talk Page Parser (Cabrera et al., EACL 2017)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/E17-3006.pdf
- Code
- ace7k3/grawitas