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Description
  • This paper presents a work in progress on the task of unsupervised parsing, following the main stream approach of optimizing the overall probability of the corpus. We evaluate a sequence of experiments for Czech with various modifications of corpus initiation, of dependency edge probability model and of sampling procedure, stressing especially the treeness constraint. The best configuration is then applied to 19 languages from CoNLL-2006 and CoNLL-2007 shared tasks. Our best achieved results are comparable to the state of the art in dependency parsing and outperform the previously published results for many languages.
  • This paper presents a work in progress on the task of unsupervised parsing, following the main stream approach of optimizing the overall probability of the corpus. We evaluate a sequence of experiments for Czech with various modifications of corpus initiation, of dependency edge probability model and of sampling procedure, stressing especially the treeness constraint. The best configuration is then applied to 19 languages from CoNLL-2006 and CoNLL-2007 shared tasks. Our best achieved results are comparable to the state of the art in dependency parsing and outperform the previously published results for many languages. (en)
Title
  • Gibbs Sampling with Treeness constraint in Unsupervised Dependency Parsing
  • Gibbs Sampling with Treeness constraint in Unsupervised Dependency Parsing (en)
skos:prefLabel
  • Gibbs Sampling with Treeness constraint in Unsupervised Dependency Parsing
  • Gibbs Sampling with Treeness constraint in Unsupervised Dependency Parsing (en)
skos:notation
  • RIV/00216208:11320/11:10107947!RIV12-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD201/09/H057)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 201276
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/11:10107947
http://linked.open...riv/jazykVysledku
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  • parsing; dependency; unsupervised; constraint; treeness; with; sampling; gibbs (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F0FB572A817C]
http://linked.open...v/mistoKonaniAkce
  • Hisarja, Bulgaria
http://linked.open...i/riv/mistoVydani
  • Šumen, Bulgaria
http://linked.open...i/riv/nazevZdroje
  • Robust Unsupervised and Semisupervised Methods in Natural Language Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Mareček, David
  • Žabokrtský, Zdeněk
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Incoma
https://schema.org/isbn
  • 978-954-452-017-5
http://localhost/t...ganizacniJednotka
  • 11320
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