Neural coreference resolution

# DeCOFre

Detecting Coreferences for Oral French¹.

This was developed for application on spoken French as part of my PhD thesis, it is relatively easy to apply it to other languages and genres, though.

## Installation

1. Install with pip

python -m pip install decofre


python -m spacy download fr_core_news_lg


## Running a pretrained model

Use decofre-infer, e.g.

decofre-infer path/to/detector.model path/to/coref.model path/to/raw_text.txt


Its output is still rather crude and mostly meant for demonstration purpose.

## Training a model

So far the only corpus we officially support (more in preparation, along with an easier bootstrap procedure).

• Clone this repo git clone https://github.com/LoicGrobol/decofre && cd decofre
• Ensure you are in an environment where DeCOFre has been installed (to be sure that all the dependencies are correct)
• Run the bootstrap script python -m doit run -f datasets/ancor/ancor.py

### Actual training

Use decofre-train, e.g.

decofre-train --config tests/sanity-check.jsonnet --model-config decofre/models/default.jsonnet --out-dir /path/to/an/output/directory


This will put a detector.model and a coref.model files in the selected output directory, that you can then load in decofre-infer.

The sanity-check trainig config is, well, a sanity check, meant to see if DeCOFre actually runs in your environment and uses a tiny training set to make it fast. The resulting models will therefore be awful. This is normal, don't be alarmed.

You probably want to substitute the config files for your own, see also ANCOR config files in datasets/ancor/. The config files are not really documented right now, but you can take inspiration from the provided examples. See also decofre-train --help for other options.

This is by no mean fast, you have been warned.

## Citation

@inproceedings{grobol2019NeuralCoreferenceResolution,
author = {Grobol, Loïc},
date = {2019-06},
eventtitle = {Proceedings of the {{Second Workshop}} on {{Computational Models}} of {{Reference}}, {{Anaphora}} and {{Coreference}}},
pages = {8-14},
title = {Neural {{Coreference Resolution}} with {{Limited Lexical Context}} and {{Explicit Mention Detection}} for {{Oral French}}},
url = {https://www.aclweb.org/anthology/papers/W/W19/W19-2802/},
urldate = {2019-06-24}
}


1. Let me know if you think of a better name.

## Licence

Unless otherwise specified (see below), the following licence (the so-called “MIT License”) applies to all the files in this repository. See also LICENCE.md.

Copyright 2020 Loïc Grobol <loic.grobol@gmail.com>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
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### Licence exceptions

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