How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers

Željko Agić, Natalie Schluter


Abstract
In dependency parsing, jackknifing taggers is indiscriminately used as a simple adaptation strategy. Here, we empirically evaluate when and how (not) to use jackknifing in parsing. On 26 languages, we reveal a preference that conflicts with, and surpasses the ubiquitous ten-folding. We show no clear benefits of tagging the training data in cross-lingual parsing.
Anthology ID:
P17-2107
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
679–684
Language:
URL:
https://www.aclweb.org/anthology/P17-2107
DOI:
10.18653/v1/P17-2107
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PDF:
http://aclanthology.lst.uni-saarland.de/P17-2107.pdf