mahnoorsheikh16/NLP-Framework-for-Literature-Summarization-in-Law-and-Policy
Implementation of an interactive chatbot for summarizing legal and policy documents. Includes data preprocessing (cleaning, tokenization, hierarchical chunking), extractive TF-IDF baselines, and fine-tuned abstractive models (DistilBART, LED). Integrates a retrieval layer for document relevance and uses ROUGE, BLEU, and cosine similarity metrics.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/mahnoorsheikh16/NLP-Framework-for-Literature-Summarization-in-Law-and-Policy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Ramseygithub/ai-legal-compliance-assistant
AI-powered legal compliance assistant for alcohol beverage pricing laws — extracts, analyzes,...
adityaprasad-sudo/ExploreSingapore
A sophisticated RAG intelligence engine for Singaporean laws, policies, and history. Comes with...
petrosrapto/PAKTON
Code for "PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements",...
Debapriya-source/nyaya-gpt
AI agent with RAG+ReAct on Indian Constitution & BNS
lixx21/legal-document-assistant
A Retrieval-Augmented Generation (RAG) application for querying legal documents. It uses...