No more fighting an endless article backlog.
We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...
Abstract: In this article, recent key research on abstractive text summarization is reviewed. Text summarization is a mechanism of generating a brief, accurate, and precise summary of a substantial ...
A large-scale randomized trial of texting therapy concluded that its outcomes were as good as video sessions in treating depression. By Ellen Barry One of the most popular mental health innovations of ...
Add a description, image, and links to the python-summarization-text-summarization topic page so that developers can more easily learn about it.
Objective: This study aims to present the current state of the art on clinical text summarization using large language models, evaluate the level of evidence in existing research and assess the ...
Abstract: Text summarization is important in this era of electronic data explosion. While there exist different models for text summarization in High-resource languages like English, there is no ...
Using text summarization, a long text is provided as input and by automated means a shorter and more concise version is generated (Cai et al., 2021). Text simplification reduces the complexity of a ...
This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.