Abstract
We present a systematic analysis of lexicalized vs. delexicalized parsing in low-resource scenarios, and propose a methodology to choose one method over another under certain conditions. We create a set of simulation experiments on 41 languages and apply our findings to 9 low-resource languages. Experimental results show that our methodology chooses the best approach in 8 out of 9 cases.- Anthology ID:
- W17-6303
- Volume:
- Proceedings of the 15th International Conference on Parsing Technologies
- Month:
- September
- Year:
- 2017
- Address:
- Pisa, Italy
- Editors:
- Yusuke Miyao, Kenji Sagae
- Venue:
- IWPT
- SIG:
- SIGPARSE
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 18–24
- Language:
- URL:
- https://aclanthology.org/W17-6303
- DOI:
- Cite (ACL):
- Agnieszka Falenska and Özlem Çetinoğlu. 2017. Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios. In Proceedings of the 15th International Conference on Parsing Technologies, pages 18–24, Pisa, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios (Falenska & Çetinoğlu, IWPT 2017)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/W17-6303.pdf
- Data
- Universal Dependencies