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Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

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Legal Knowledge Extraction for Knowledge Graph Based Question-Answering

Extra documentation (knowledge graph, images, etc..) of the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

Usage and Installation

This project has been tested on Debian 9 and macOS Mojave 10.14 with Python 3.7.9. The web_app folder contains the code of the answer retriever. The web_app/setup.sh script installs the software. To run the web app, execute the following command ./web_app/server.sh port_num where port_num is the number of the port. After running the "server.sh" script, you can access the web app through your browser at http://localhost:port_num (remember to replace the string port_num with the correct port number you have chosen).

N.B. Before being able to run the setup.sh scripts you have to install: virtualenv, python3-dev, python3-pip and make.

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The Knowledge Graph has been extracted from:

KG's Taxonomy

KG's Taxonomy

Taxonomical Hinge

Taxonomical Hinge

Contact

To report issues, use GitHub Issues. For other queries, contact Francesco Sovrano:

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Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

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