@inproceedings{pretkalnina-etal-2014-dependency,
title = "Dependency parsing representation effects on the accuracy of semantic applications {---} an example of an inflective language",
author = "Pretkalni{\c{n}}a, Lauma and
Znoti{\c{n}}{\v{s}}, Art{\=u}rs and
Rituma, Laura and
Go{\v{s}}ko, Didzis",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/879_Paper.pdf",
pages = "4074--4081",
abstract = "In this paper we investigate how different dependency representations of a treebank influence the accuracy of the dependency parser trained on this treebank and the impact on several parser applications: named entity recognition, coreference resolution and limited semantic role labeling. For these experiments we use Latvian Treebank, whose native annotation format is dependency based hybrid augmented with phrase-like elements. We explore different representations of coordinations, complex predicates and punctuation mark attachment. Our experiments shows that parsers trained on the variously transformed treebanks vary significantly in their accuracy, but the best-performing parser as measured by attachment score not always leads to best accuracy for an end application.",
}
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<abstract>In this paper we investigate how different dependency representations of a treebank influence the accuracy of the dependency parser trained on this treebank and the impact on several parser applications: named entity recognition, coreference resolution and limited semantic role labeling. For these experiments we use Latvian Treebank, whose native annotation format is dependency based hybrid augmented with phrase-like elements. We explore different representations of coordinations, complex predicates and punctuation mark attachment. Our experiments shows that parsers trained on the variously transformed treebanks vary significantly in their accuracy, but the best-performing parser as measured by attachment score not always leads to best accuracy for an end application.</abstract>
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%0 Conference Proceedings
%T Dependency parsing representation effects on the accuracy of semantic applications — an example of an inflective language
%A Pretkalniņa, Lauma
%A Znotiņš, Artūrs
%A Rituma, Laura
%A Goško, Didzis
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F pretkalnina-etal-2014-dependency
%X In this paper we investigate how different dependency representations of a treebank influence the accuracy of the dependency parser trained on this treebank and the impact on several parser applications: named entity recognition, coreference resolution and limited semantic role labeling. For these experiments we use Latvian Treebank, whose native annotation format is dependency based hybrid augmented with phrase-like elements. We explore different representations of coordinations, complex predicates and punctuation mark attachment. Our experiments shows that parsers trained on the variously transformed treebanks vary significantly in their accuracy, but the best-performing parser as measured by attachment score not always leads to best accuracy for an end application.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/879_Paper.pdf
%P 4074-4081
Markdown (Informal)
[Dependency parsing representation effects on the accuracy of semantic applications — an example of an inflective language](http://www.lrec-conf.org/proceedings/lrec2014/pdf/879_Paper.pdf) (Pretkalniņa et al., LREC 2014)
ACL