@inproceedings{droganova-etal-2018-mind,
title = "Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions",
author = "Droganova, Kira and
Ginter, Filip and
Kanerva, Jenna and
Zeman, Daniel",
editor = "de Marneffe, Marie-Catherine and
Lynn, Teresa and
Schuster, Sebastian",
booktitle = "Proceedings of the Second Workshop on Universal Dependencies ({UDW} 2018)",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6006/",
doi = "10.18653/v1/W18-6006",
pages = "47--54",
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."
}
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<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.</abstract>
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%0 Conference Proceedings
%T Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions
%A Droganova, Kira
%A Ginter, Filip
%A Kanerva, Jenna
%A Zeman, Daniel
%Y de Marneffe, Marie-Catherine
%Y Lynn, Teresa
%Y Schuster, Sebastian
%S Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F droganova-etal-2018-mind
%X 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.
%R 10.18653/v1/W18-6006
%U https://aclanthology.org/W18-6006/
%U https://doi.org/10.18653/v1/W18-6006
%P 47-54
Markdown (Informal)
[Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions](https://aclanthology.org/W18-6006/) (Droganova et al., UDW 2018)
ACL