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DptOIE and Models

DptOIE method uses the Dependence Parser and Part of Speech Tagger models trained with Stanford CoreNLP.

This project contains:

  • DptOIE's source code: An Open Information Extraction for Portuguese language.
  • Dependence Parser and Part of Speech Tagger models trained with Stanford CoreNLP.

Prerequisites to run from source code

How to use

To run the DptOIE.jar

 java -jar DptOIE.jar -sentencesIN **sentences_file_path**

To use the module that handles subordinate clause

-SC true

To use the module that handles coordinated conjunctions

-CC true

To use the module that handles appositive

-appositive 1

To apply transitivity

-appositive 2

DptOIE is independent of dependency parser, so it can receive annotated sentences with other dependency parsers, as long as they are in ConLL-U format with the same tagsets of the Google treebank Treebanks Universal V2,1.

To run DptOIE from a dependency tree in ConLL-U format

java -jar DptOIE.jar -sentencesIN 'sentences_file_path' -dependencyTreeIN 'dependency_Tree_conllu_format'

Contributing

Please use the GitHub issue tracker

Authors

How to cite

If you find this repo helpful, please consider citing:

@article{DBLP:journals/air/OliveiraCS23,
  author       = {Leandro Oliveira and
                  Daniela Barreiro Claro and
                  Marlo Souza},
  title        = {DptOIE: a Portuguese open information extraction based on dependency
                  analysis},
  journal      = {Artif. Intell. Rev.},
  volume       = {56},
  number       = {7},
  pages        = {7015--7046},
  year         = {2023},
  url          = {https://doi.org/10.1007/s10462-022-10349-4},
  doi          = {10.1007/s10462-022-10349-4},
  timestamp    = {Thu, 15 Jun 2023 21:57:36 +0200},
  biburl       = {https://dblp.org/rec/journals/air/OliveiraCS23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
  • Leandro Oliveira, Daniela Barreiro Claro, Marlo Souza: DptOIE: a Portuguese open information extraction based on dependency analysis. Artif. Intell. Rev. 56(7): 7015-7046 (2023).

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