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.

Implementation of Abstractive and Extractive Text Summarization using Google Pegasus and Google BERT respectively.

Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization

text Summarization: Abstractive, Extractive, and Transformer-based approaches. This project explores various text summarization techniques, including both abstractive and extractive approaches, using traditional methods (`NLTK`, and `spaCy`, `Gensim`, and `Sumy`) as well as advanced Large Language Models (LLMs).

Summarize the text entered by the user

Abstractive Summarization example done using Google's Pegasus Model

Цель проекта - построение автоматической абстрактивной суммаризации статей из Habr с качеством, не хуже заданного бейзлайна.

Extractive and abstractive method

Use of Transformers for NLP tasks

Text summarization algorithms using PySpark

News Headline and Summary Generation through Abstractive Summarization: Project Repo for Adavanced Machine Learning (AML) course at Ashoka

Abstractive Text Summarization with T5, assessed using the ROUGE metrics 🌟📊

It is the edited version of the PreSumm model. You can easily follow the instructions to train an Abstractive Text Summarizer model (which was challenging in the original codes).

Using various NLP libraries for Text Summarization

Extractive and Abstractive Text Summarization of US Supreme Court Opinions

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

Text Summarization using Abstractive text summarization

Transforming lengthy textual content into concise and meaningful summaries is the essence of this project. Leveraging the power of the Pegasus model, our abstractive text summarization repository aims to distill complex information into succinct and coherent summaries. Pegasus, state-of-the-art pre-trained model, excel in generating human like text