⚖️ A Statutory Article Retrieval Dataset in French.

Last update: Nov 17, 2022

Overview

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.

You might also like...

🏆 The 1st Place Submission to AICity Challenge 2021 Natural Language-Based Vehicle Retrieval Track (Alibaba-UTS submission)

26 Apr 29, 2021

Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

49 Dec 26, 2022

Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT)

CIRPLANT This repository contains the code and pre-trained models for Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) For d

29 Nov 17, 2022

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev

86 Dec 28, 2022

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation Official Code Repository for the paper "Unsupervised Documen

2 Oct 26, 2021

Question and answer retrieval in Turkish with BERT

trfaq Google supported this work by providing Google Cloud credit. Thank you Google for supporting the open source! 🎉 What is this? At this repo, I'm

13 Oct 10, 2022

Legal text retrieval for python

legal-text-retrieval Overview This system contains 2 steps: generate training data containing negative sample found by mixture score of cosine(tfidf)

22 Dec 6, 2022

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Memorizing Transformers - Pytorch Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memori

364 Jan 6, 2023

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

textgenrnn Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code, or quickly tr

4.8k Dec 30, 2022

Comments

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.

GitHub Repository

fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier

fast.ai ULMFiT with SentencePiece from pretraining to deployment Motivation: Why even bother with a non-BERT / Transformer language model? Short answe

26 May 27, 2022

An IVR Chatbot which can exponentially reduce the burden of companies as well as can improve the consumer/end user experience.

IVR-Chatbot Achievements 🏆 Team Uhtred won the Maverick 2.0 Bot-a-thon 2021 organized by AbInbev India. ❓ Problem Statement As we all know that, lot

9 Dec 08, 2022

Words-per-minute - A terminal app written in python utilizing the curses module that tests the user's ability to type

words-per-minute A terminal app written in python utilizing the curses module th

1 Jan 14, 2022

NLP library designed for reproducible experimentation management

Welcome to the Transfer NLP library, a framework built on top of PyTorch to promote reproducible experimentation and Transfer Learning in NLP You can

290 Dec 20, 2022

Tool which allow you to detect and translate text.

Text detection and recognition This repository contains tool which allow to detect region with text and translate it one by one. Description Two pretr

176 Nov 28, 2022

ByT5: Towards a token-free future with pre-trained byte-to-byte models

ByT5: Towards a token-free future with pre-trained byte-to-byte models ByT5 is a tokenizer-free extension of the mT5 model. Instead of using a subword

409 Jan 06, 2023

texlive expressions for documents

tex2nix Generate Texlive environment containing all dependencies for your document rather than downloading gigabytes of texlive packages. Installation

70 Dec 26, 2022

voice2json is a collection of command-line tools for offline speech/intent recognition on Linux

Command-line tools for speech and intent recognition on Linux

988 Jan 04, 2023

Meta learning algorithms to train cross-lingual NLI (multi-task) models

4 Nov 20, 2022

Multiple implementations for abstractive text summurization , using google colab

Text Summarization models if you are able to endorse me on Arxiv, i would be more than glad https://arxiv.org/auth/endorse?x=FRBB89 thanks This repo i

463 Dec 26, 2022

Transformers and related deep network architectures are summarized and implemented here.

Transformers: from NLP to CV This is a practical introduction to Transformers from Natural Language Processing (NLP) to Computer Vision (CV) Introduct

138 Dec 27, 2022

FactSumm: Factual Consistency Scorer for Abstractive Summarization

FactSumm: Factual Consistency Scorer for Abstractive Summarization FactSumm is a toolkit that scores Factualy Consistency for Abstract Summarization W

83 Jan 09, 2023

Official PyTorch implementation of SegFormer

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page

1.4k Dec 29, 2022

Crie tokens de autenticação íntegros e seguros com UToken.

UToken - Tokens seguros. UToken (ou Unhandleable Token) é uma bilioteca criada para ser utilizada na geração de tokens seguros e íntegros, ou seja, nã

0 Nov 29, 2022

Sequence-to-Sequence Framework in PyTorch

nmtpytorch allows training of various end-to-end neural architectures including but not limited to neural machine translation, image captioning and au

395 Nov 21, 2022

Paradigm Shift in NLP - "Paradigm Shift in Natural Language Processing".

Paradigm Shift in NLP Welcome to the webpage for "Paradigm Shift in Natural Language Processing". Some resources of the paper are constantly maintaine

41 Dec 30, 2022

Creating an LSTM model to generate music

Music-Generation Creating an LSTM model to generate music music-generator Used to create basic sin wave sounds music-ai Contains the functions to conv

2 Dec 02, 2021

Comprehensive-E2E-TTS - PyTorch Implementation

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultima

114 Nov 13, 2022

Blackstone is a spaCy model and library for processing long-form, unstructured legal text

Blackstone Blackstone is a spaCy model and library for processing long-form, unstructured legal text. Blackstone is an experimental research project f

579 Jan 08, 2023

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Splitter ⠀⠀ A PyTorch implementation of Splitter: Learning Node Representations that Capture Multiple Social Contexts (WWW 2019). Abstract Recent inte

201 Nov 09, 2022