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.

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

Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.

jgtextrank: Yet another Python implementation of TextRank

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

Automatic summarisation of Medicines's Description

Leveraging extractive summarization techniques for abstractive summarization.

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

Using NLTK Lib to summarise texts

Natural Language Processing

A Text Summarizer deployed to Heroku

Natural Language Processing (CSE4022) Text Summarisation Project

Unsupervised learning model based on exhaustive text summarization

Simple neural extractive text summarization

A simple implementation and UI of Summary Transformer models. Specifically The pszemraj/led-large-book-summary

Smart text summarization with BART & Pegasus AI models. Supports text, URLs, and files. Built with FastAPI + Next.js 14. Features: dual model comparison, caching, auth, history tracking.

📘 Master LangChain and LLMs with hands-on notebooks, covering data ingestion, text processing, and AI application fundamentals for real-world tasks.