Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…

Machine learning models to automatically summarise scientific papers

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

Python implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.

微博自动摘要系统 Chinese Microblog Automatic Summary System

The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is …

Tool to extracts the text from a web article urls and get frequency words, entities recognition, automatic summary and more

Automatic summarisation of Medicines's Description

This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.

A script to process the ArXiv-PubMed dataset.

Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments

MOTS (MOdular Tool for Summarization) is a summarization system, written in Java. It is as modular as possible, and is intended to provide an architecture to implement and test new summarization methods, as well as to ease comparison with already implemented methods, in an unified framework.

Content Summary Generator

LinTO's NLP service: Extractive Summarization

This AI-Powered News Portal, built on Django, generates live news articles on trending topics. Leveraging AI technology, the portal fetches live data from Google Trends to ensure real-time updates. The platform can be expanded to develop a comprehensive AI-powered news ecosystem.

Data collection and resulting timelines for the paper Summarize Dates First: A Paradigm Shift in Timeline Summarization published at SIGIR 2021

GROUP 4. This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.

using feature maximisation for summarizing scientifc documents

Evaluation and agreement scripts for the DISCOSUMO project. Each evaluation script takes both manual annotations as automatic summarization output. The formatting of these files is highly project-specific. However, the evaluation functions for precision, recall, ROUGE, Jaccard, Cohen's kappa and Fleiss' kappa may be applicable to other domains too.