Biaffine dependency parser for spaCy
Project description
spacy-biaffine-parser: Biaffine parser for spaCy
This package provides a biaffine dependency parser, similar to that proposed in [Deep Biaffine Attention for Neural Dependency Parsing](Deep Biaffine Attention for Neural Dependency Parsing) (Dozat & Manning, 2016).
Installation
Install with pip:
python -m pip install -U pip setuptools wheel
python -m pip install spacy-biaffine-parser
Usage
The parser consists of two pipes: an edge predicter and an edge labeler. For example:
[components.arc_predicter]
factory = "arc_predicter"
[components.arc_labeler]
factory = "arc_labeler"
The arc predicter requires that a previous component (such as senter) sets
sentence boundaries during training. Therefore, such a component must be added
to annotating_components:
[training]
annotating_components = ["senter"]
The biaffine parser sample project provides an example biaffine parser pipeline.
Bug reports and issues
Please report bugs in the spaCy issue tracker or open a new thread on the discussion board for other issues.
Project details
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