Vietnamese Legal Text Retrieval

Our repository is based on this approach. In this work, we focus on building a website to interact with the retrieval system easily. All information about training and evaluation, you can find in this repository we mentioned above.

Overview

This system contains 2 steps:

• generate training data containing negative sample found by mixture score of cosine(tfidf) + bm25 (using top 150 law articles most similarity)
• fine-tune PhoBERT model (+NlpHUST model - optional) on generated data

Environments

git clone https://github.com/vncorenlp/VnCoreNLP.git vncorenlp_data 
# for vncorebnlp tokenize lib

Run

1. Config your mongo database in web/config/db.env.copy by cp web/config/db.env.copy web/config/db.env then fill the file with the information as you want to.

2. Run the service using docker-compose:

   docker-compose --env-file=web/config/db.env up --build

   Note:

   • The backend service use port 5002, and the frontend service use port 5000. You can change the port by passing in docker-compose.yml.
   • If you face with any errors, don't hesitate to create a new issue.