document-summarization

Python wrapper for evaluating summarization quality by ROUGE package

Ally – AI Contract Assistant is a Word plugin using Azure OpenAI for contract analysis, real-time Q&A, and auto-markup. It helps legal professionals save time and ensure accuracy in reviews.

Document Search Engine Tool

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"

Extractive Document Summarization Based on Convolutional Neural Networks

A python application for summarizing Slack threads

[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising

[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization

JURIbrief helps make complex legal documents easier to understand. Upload a document or paste its text to receive an AI-generated summary, identify potential risks and deadlines, ask follow-up questions, compare document versions, or draft a new document.

문서 요약 논문 정리

LoRA supervised fine-tuning, RLHF (PPO) and RAG with llama-3-8B on the TLDR summarization dataset

ClearClause: A Legal AI Assistant using Google Gemini API for QnA, summaries, translations, and semantic search across your legal documents.

AI-powered document analysis system for summarization, question answering, and semantic search using NLP and machine learning.

Implementation for multi-document query-based abstractive summarisation

Summarize documents based on content extracted via Rosette API

Turn PDF into Notes in seconds📝

⚡🤖 VoltAI is a lightning-fast, Rust-powered local AI agent that answers questions, summarizes documents, and reasons over large datasets — all in milliseconds. Perfect for developers, engineers, and researchers who want an offline private AI - your data never leaves your machine 🛡️📂⚡

Automatic Extractive Text Summarization using TF-IDF Frequency Analysis. This is a Node.js web application using Express.js on the server side.

This project demonstrates summarizing large documents with Azure OpenAI and Durable Functions, using a Fan-out/Fan-in pattern to process sections in parallel and compile a cohesive summary. It ensures scalable and efficient document handling with Azure services.

AI document intelligence assistant with RAG, OCR, NER, document classification, source-cited Q&A, risk detection, and evaluation metrics for PDFs, DOCX, TXT, and scanned documents.