Python wrapper for evaluating summarization quality by ROUGE package

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

Document Search Engine Tool

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

문서 요약 논문 정리

Implementation for multi-document query-based abstractive summarisation

Summarize documents based on content extracted via Rosette API

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

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

Simple Query Based Document Summarization

Muisca: Modelo Unificado de Inteligencia Supervisada para la Computación y Aplicación. Una herramienta Streamlit para resumir y hacer preguntas sobre documentos en PDF y TXT utilizando modelos de lenguaje de última generación.

Document summarisation and query expansion

Extract Amazon customer reviews of select products via a third-party educational web scrapper, analyze them with LLM, and display concise summaries using an interactive user interface.

Document Summarization has become a vital task for various individuals and businesses that require a way of cutting down complexities involved with bulky documents

If text is a graph, then summary is vertex cover of that graph.

A survey paper exploring the use of state-of-the-art deep neural network architectures in NLP problems featuring very large documents.

A software component that uses TF-IDF statistical analysis of the words in files to extract the 10 most important terms in a document and provide a short, 5 sentence summary.