⚖️ A Statutory Article Retrieval Dataset in French.

Related tags

Text Data & NLPnlpinformation-retrievallegaltech
Overview

DOI

A Statutory Article Retrieval Dataset in French

This repository contains the Belgian Statutory Article Retrieval Dataset (BSARD), as well as the code to reproduce the experimental results from the associated paper by A. Louis, G. Spanakis, and G. Van Dijck.

Abstract. Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal question. While recent advances in natural language processing have sparked considerable interest in many legal tasks, statutory article retrieval remains primarily untouched due to the scarcity of large-scale and high-quality annotated datasets. To address this bottleneck, we introduce the Belgian Statutory Article Retrieval Dataset (BSARD), which consists of 1,100+ French native legal questions labeled by experienced jurists with relevant articles from a corpus of 22,600+ Belgian law articles. Using BSARD, we benchmark several unsupervised information retrieval methods based on term weighting and pooled embeddings. Our best performing baseline achieves 50.8% [email protected], which is promising for the feasibility of the task and indicates that there is still substantial room for improvement. By the specificity of the data domain and addressed task, BSARD presents a unique challenge problem for future research on legal information retrieval.

Documentation

Detailed documentation on the dataset and how to reproduce the main experimental results can be found here.

Citation

For attribution in academic contexts, please cite this work as:

@article{louis2021statutory,
  title = {A Statutory Article Retrieval Dataset in French},
  author = {Louis, Antoine and Spanakis, Gerasimos and Van Dijck, Gijs},
  journal = {arXiv preprint arXiv:2108.11792},
  year = {2021},
}

License

This repository is licensed under the terms of the CC BY-NC-SA 4.0 license.

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Comments
  • transformers library version should be specified

    transformers library version should be specified

    Hi,

    As specified in the documentation, I made the environment from the yml file: time conda env create -n bsard -f environment.yml

    However, I run into an error when doing the grid search:

    Traceback (most recent call last):                                                                                                                                                   
  File "scripts/search_hyperparameters.py", line 11, in <module>
    from retriever import Word2vecRetriever, FasttextRetriever, BERTRetriever
  File "/u/salaunol/Documents/_2021_automne/bsard/scripts/retriever.py", line 16, in <module>
    from transformers import (CamembertModel, CamembertTokenizer,
ImportError: cannot import name 'CamembertModel' from 'transformers' (/u/salaunol/anaconda3/envs/bsard/lib/python3.8/site-packages/transformers/__init__.py)

    The transformers version was the following: transformers 2.1.1 pyhd3eb1b0_0

    I fixed it with pip install transformers==2.5.0 but it would be preferable to specify the version for each library in environment.yml

    Edit: issue submitted too fast

    opened by oliviersalaun 1
Releases(v1.0)

  • v1.0(Aug 26, 2021)

    The Belgian Statutory Article Retrieval Dataset (BSARD) v1.0 is a French native corpus for studying statutory article retrieval. BSARD consists of more than 22,600 statutory articles from Belgian law and about 1,100 legal questions posed by Belgian citizens and labeled by experienced jurists with relevant articles from the corpus.

    Source code(tar.gz)
    Source code(zip)
Owner
Maastricht Law & Tech Lab
The Lab aims to offer innovative education and to build a creative community of researchers at the intersections of law, technology and data science.
Maastricht Law & Tech Lab
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