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.

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

A script to process the ArXiv-PubMed dataset.

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

Content Summary Generator

LinTO's NLP service: Extractive Summarization

Code for paper 'Summary Refinement through Denoising'

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.

Multidocument summarization using the SumBasic implementation

A Web app for automatic summarization