Popular GitHub Repositories for Rouge

Extractive Document Summarization Based on Convolutional Neural Networks

Con-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec

Develop a chatbot that can effectively adapt to context and topic shifts in a conversation, leveraging the Stanford Question Answering Dataset to provide informed and relevant responses, and thereby increasing user satisfaction and engagement.

This repo contains the source code of the AMR (Abstract Meaning Representation) based approach for abstractive summarization. (ACL-SRW 2018)

This project implements a headline summarization pipeline using the T5 transformer model fine-tuned on the XSum dataset. It provides a user-friendly interface using Gradio to generate concise summaries for long headlines or paragraphs. The project showcases end-to-end machine learning capabilities, from preprocessing and fine-tuning to deployment

Reproduction package for A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

Demonstration of LLM techniques such as prompt engineering, full finetuning, PEFT (LoRA) etc.

Python Implementation of lexical vector embedding similarity scoring, zero-shot classification of images and n-gram based scoring to compare textual summaries

本文使用伊朗新闻数据集进行抽取式文本摘要。该数据集包含了Asriran、Roozno、Tabnak、Mashregh和Sobhanehonline等新闻网站的数据。

This notebook fine-tunes the FLAN-T5 model for dialogue summarization, comparing full fine-tuning with Parameter-Efficient Fine-Tuning (PEFT). It evaluates performance using ROUGE metrics, demonstrating PEFT's efficiency while achieving competitive results.