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

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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.

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APA

Agic, Ž., & Schluter, N. (2017). How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers. In ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers) (Vol. 2, pp. 679–684). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-2107

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