Summary of the paper

Title A System for Experiments with Dependency Parsers
Authors Kiril Simov, Iliana Simova, Ginka Ivanova, Maria Mateva and Petya Osenova
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.
Topics Corpus (Creation, Annotation, etc.)
Full paper A System for Experiments with Dependency Parsers
Bibtex @InProceedings{SIMOV14.1005,
  author = {Kiril Simov and Iliana Simova and Ginka Ivanova and Maria Mateva and Petya Osenova},
  title = {A System for Experiments with Dependency Parsers},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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