A curated list of Multi-Document Summarization papers, articles, tutorials, slides , datasets, and projects

Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.

An android app to summarize any pdf uploaded to it

Uses a remote AI language model to prepare and post a summary of a Topic

The Python-based web app extracts and summarizes news using NewsAPI, newspaper3k, spacy, Pegasus and T5 from Hugging Face. It categorizes news articles and uses a graph-based summary feature to summarize multiple documents. The app works with news in any language supported by NewsAPI.

🤖 Joplin AI - Summarisation: The project aims to create note summaries to help users synthesize main ideas and arguments to identify salient points. This means that users will have a clear idea of what the note is about in a short piece of text with less mental effort.

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.

SumItUp is a platform that allows users to generate summaries from various types of content, including audio, images, videos, GIFs, URLs, PDFs and books. It provides users with quick and concise summaries to help them understand the content more efficiently.

Material Science Predictor

Abstractive summarizers GPT2 vs XLNet vs BERT model

Implementation of the paper Ranking Sentences for Extractive Summarisation using Reinforcement Learning

An online meeting summarizer with voice-based screenshots!

Summarize blog posts, news articles and read it on one go

Summarises the content of README files for any public GitHub repo

Extractive text summarisation tool developed for completion of my MSc ICT Software Implementation module. This is an overhaul of my original work.