@inproceedings{simov-etal-2014-system,
title = "A System for Experiments with Dependency Parsers",
author = "Simov, Kiril and
Simova, Iliana and
Ivanova, Ginka and
Mateva, Maria and
Osenova, Petya",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
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/1005_Paper.pdf",
pages = "4061--4065",
abstract = "In this paper we present a system for experimenting with combinations of dependency parsers. The system supports initial training of different parsing models, creation of parsebank(s) with these models, and different strategies for the construction of ensemble models aimed at improving the output of the individual models by voting. The system employs two algorithms for construction of dependency trees from several parses of the same sentence and several ways for ranking of the arcs in the resulting trees. We have performed experiments with state-of-the-art dependency parsers including MaltParser, MSTParser, TurboParser, and MATEParser, on the data from the Bulgarian treebank {--} BulTreeBank. Our best result from these experiments is slightly better then the best result reported in the literature for this language.",
}
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<abstract>In this paper we present a system for experimenting with combinations of dependency parsers. The system supports initial training of different parsing models, creation of parsebank(s) with these models, and different strategies for the construction of ensemble models aimed at improving the output of the individual models by voting. The system employs two algorithms for construction of dependency trees from several parses of the same sentence and several ways for ranking of the arcs in the resulting trees. We have performed experiments with state-of-the-art dependency parsers including MaltParser, MSTParser, TurboParser, and MATEParser, on the data from the Bulgarian treebank – BulTreeBank. Our best result from these experiments is slightly better then the best result reported in the literature for this language.</abstract>
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%0 Conference Proceedings
%T A System for Experiments with Dependency Parsers
%A Simov, Kiril
%A Simova, Iliana
%A Ivanova, Ginka
%A Mateva, Maria
%A Osenova, Petya
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%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 simov-etal-2014-system
%X In this paper we present a system for experimenting with combinations of dependency parsers. The system supports initial training of different parsing models, creation of parsebank(s) with these models, and different strategies for the construction of ensemble models aimed at improving the output of the individual models by voting. The system employs two algorithms for construction of dependency trees from several parses of the same sentence and several ways for ranking of the arcs in the resulting trees. We have performed experiments with state-of-the-art dependency parsers including MaltParser, MSTParser, TurboParser, and MATEParser, on the data from the Bulgarian treebank – BulTreeBank. Our best result from these experiments is slightly better then the best result reported in the literature for this language.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1005_Paper.pdf
%P 4061-4065
Markdown (Informal)
[A System for Experiments with Dependency Parsers](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1005_Paper.pdf) (Simov et al., LREC 2014)
ACL
- Kiril Simov, Iliana Simova, Ginka Ivanova, Maria Mateva, and Petya Osenova. 2014. A System for Experiments with Dependency Parsers. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4061–4065, Reykjavik, Iceland. European Language Resources Association (ELRA).