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DiZer 3

dizer3 is a discoursive analyzer for Brazilian Portuguese. It is under development...

Installation

Basic usage

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

  • --f indicates the a raw text file path. This argument takes precedence over -d
  • --d indicates the directory with raw text files to be analyzed

Citation

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