Lexicalized vs. Delexicalized Parsing in Low-Resource Scenarios

Agnieszka Falenska, Özlem Çetinoğlu


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
Venues:
IWPT | WS
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
Note:
Pages:
18–24
Language:
URL:
https://aclanthology.org/W17-6303
DOI:
Bibkey:
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, 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-6303.pdf
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