dizer3 is a discoursive analyzer for Brazilian Portuguese. It is under development...
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Clone this repository
git clone https://github.com/egmaziero/dizer3.git. -
Install dependencies (installing inside a virtual environment is advisable...)
pip install -r requirements.txt. -
Download models using the link: https://drive.google.com/file/d/1z9WuR5USFHrangVNGpvMEA2oyjlGob8A/view?usp=sharing. Extract the directory
modelsand put it indizer3directory.
dizer3 performs discourse (based on Rhetorical Structure Theory) analysis on raw text files.
To run the parser use:
python3 dizer3\run_pipeline.py --f file_path
or
python3 dizer3\run_pipeline.py --d directory_path
where
--findicates the a raw text file path. This argument takes precedence over-d--dindicates the directory with raw text files to be analyzed
To cite this work, use one of the following reference:
Maziero, E.G.; Hirst, G.; Pardo, T.A.S. (2015). Semi-Supervised Never-Ending Learning in Rhetorical Relation Identification. In the Proceedings of the Recent Advances in Natural Language Processing - RANLP, pp. 436-442. September 5-11. Hissar/Bulgaria.
Maziero, E. G. (2016). Análise retórica com base em grande quantidade de dados. Tese de Doutorado, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos. doi:10.11606/T.55.2017.tde-13012017-103446. Recuperado em 2020-06-10, de www.teses.usp.br