Abstract: The exponential growth of digital content has made it increasingly difficult for users to understand the information, particularly in domains like political news. The study provides a ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...

Wheels are provided for Linux, Mac, and Windows. Pytorch is not installed by default. You either first need to install it yourself, or install one of the following ...

Official implementation of an importance aware multi-document abstractive summarization framework for Indian English news using the NewsSumm dataset. The repository includes event-level clustering, ...

Abstract: Question-answering based text summarization can produce personalized and specific summaries; however, the primary challenge is the generation and selection of questions that users expect the ...