Abstract
We describe pke, an open source python-based keyphrase extraction toolkit. It provides an end-to-end keyphrase extraction pipeline in which each component can be easily modified or extented to develop new approaches. pke also allows for easy benchmarking of state-of-the-art keyphrase extraction approaches, and ships with supervised models trained on the SemEval-2010 dataset.- Anthology ID:
- C16-2015
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 69–73
- Language:
- URL:
- https://aclanthology.org/C16-2015
- DOI:
- Cite (ACL):
- Florian Boudin. 2016. pke: an open source python-based keyphrase extraction toolkit. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 69–73, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- pke: an open source python-based keyphrase extraction toolkit (Boudin, COLING 2016)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/C16-2015.pdf
- Code
- boudinfl/pke