Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions

Kira Droganova, Filip Ginter, Jenna Kanerva, Daniel Zeman


Abstract
In this paper, we focus on parsing rare and non-trivial constructions, in particular ellipsis. We report on several experiments in enrichment of training data for this specific construction, evaluated on five languages: Czech, English, Finnish, Russian and Slovak. These data enrichment methods draw upon self-training and tri-training, combined with a stratified sampling method mimicking the structural complexity of the original treebank. In addition, using these same methods, we also demonstrate small improvements over the CoNLL-17 parsing shared task winning system for four of the five languages, not only restricted to the elliptical constructions.
Anthology ID:
W18-6006
Volume:
Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
Month:
November
Year:
2018
Address:
Brussels, Belgium
Venues:
EMNLP | UDW | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
47–54
Language:
URL:
https://www.aclweb.org/anthology/W18-6006
DOI:
10.18653/v1/W18-6006
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6006.pdf