NLP-Framework-for-Literature-Summarization-in-Law-and-Policy
PublicImplementation of an interactive chatbot for summarizing legal and policy documents. Includes data preprocessing (cleaning, tokenization, chunking), extractive summarization baselines, and fine-tuned abstractive models (PEGASUS and LED). Integrates a retrieval layer for document relevance and uses ROUGE, BLEU, and cosine similarity for evaluation.