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Turbo Parser

The Turbo Parser is a dependency parser that efficiently uses higher-order factors, such as siblings and grandparents in a dependency tree, via the AD3 structured decoder. It also does POS (UPOS/XPOS) and morphological tagging in the Universal Dependencies style.

@inproceedings{turbo2020,
    title={Revisiting Higher-Order Dependency Parsers},
    author={Erick Fonseca and Andr\'{e} F. T. Martins},
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    year={2020}
}

This code was inspired in the original Turbo Parser, written in C++ in the pre-neural era of NLP.

Installing

Just clone the repository and install the package with

python setup.py install

It should automatically install dependencies.

Usage

Running a trained model

For CLI usage, use the command turboparser (which invokes the script run_parser.py under turboparser/scripts). Run it with -h to get detailed information. You can also check the script code for a simple API usage.

Training a new model

Use the command turboparser-train (which invokes train_parser.py under turboparser/scripts).