PDB-based dependency parsing models for Polish

The PDB-based models are trained on the current version of Polish Depedency Bank with the publicly available parsing systems – COMBO, MateParser and MaltParser. MaltParser is a transition-based dependency parser that uses a deterministic parsing algorithm. The deterministic parsing algorithm builds a dependency structure of an input sentence based on transitions (shift-reduce actions) predicted by a classifier. The classifier learns to predict the next transition given training data and the parse history. MateParser, in turn, is a graph-based parser that defines a space of well-formed candidate dependency trees for an input sentence, scores them given an induced parsing model, and selects the highest scoring dependency tree as a correct analysis of the input sentence.

• COMBO

  • 190115_COMBO_PDB_nosem.pkl – PDB-based COMBO model for part-of-speech tagging, lemmatisation, and dependency parsing

  • 190115_COMBO_PDB_sem.pkl – PDB-based COMBO model for part-of-speech tagging, lemmatisation, dependency parsing and semantic role labelling

  • NEW! PDB-based COMBO model compatible with the tagset of Morfeusz 2: 180912_PDBCOMBO.pkl

  • MateParser

    • NEW! PDB-based Mate model compatible with the tagset of Morfeusz 2: 180322_PDBMate.mdl

    • PDB-based Mate model compatible with the tagset of Morfeusz: 170608_PDBMate.mdl

• MateParser

  • 190105_MATE_PDB.model – PDB-based MateParser model for dependency parsing

• MaltParser

  • 190105_MALT_PDB.mco – PDB-based MaltParser model for dependency parsing

PDBUD-based dependency parsing models for Polish

The PDBUD-based models are trained on the current version of Polish Depedency Bank in Universal Dependencies format with the publicly available parsing systems – UDPipe and COMBO.

• COMBO

  • 190115_COMBO_PDBUD_nosem.pkl – PDBUD-based model COMBO for part-of-speech tagging, lemmatisation, and dependency parsing

• UDPipe
  • tba

Parsing performance

See Dependency parsing section.

PDB-based MaltParser in Multiservice

• The performance of MaltParser model for Polish may be tested in Multiservice NLP – http://multiservice.nlp.ipipan.waw.pl.

• To parse a Polish text in Multiservice "Select predefined chain of actions": 5: Concraft, DependencyParser, input your text, and press the button "Run".

• To download the parser's output in CoNLL format, "Select output format:":

Publications

Licensing

The dependency parsing models for Polish are released under the CC BY-NC-SA 4.0 licence and by downloading it you accept the conditions of that licence.

Founding

The research was founded by SONATA 8 grant no 2014/15/D/HS2/03486 from the National Science Centre Poland and by the Polish Ministry of Science and Higher Education as part of the investment in the CLARIN-PL research infrastructure.

Contact

Any questions, comments? Please send them to <alina AT SPAMFREE ipipan DOT waw DOT pl>.