Deep Reinforcement Learning For Sequence to Sequence Models

Abstractive summarisation using Bert as encoder and Transformer Decoder

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.

Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization

[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising

An optimized Transformer based abstractive summarization model with Tensorflow

non-anonymized cnn/dailymail dataset for text summarization

Abstractiv Text Summarization

Abstractive Summarization in the Nepali language

An ai-as-a-service for abstractive text summarizaion

SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.

YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.

Summarizing text to extract key ideas and arguments

Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.

Welcome to our Summarizer App! This tool is designed to help you efficiently condense lengthy articles and text into concise summaries, making it easier for you to grasp the main points without spending too much time reading.