icoxfog417/awesome-text-summarization
The guide to tackle with the Text Summarization
This guide helps you automatically create concise summaries from lengthy documents or collections of documents, saving you time and improving your understanding of key information. It explains various approaches to generating summaries, from extracting key sentences to paraphrasing content. Anyone who needs to quickly grasp the essence of large volumes of text, such as researchers, analysts, or content curators, will find this useful.
1,312 stars. No commits in the last 6 months.
Use this if you need to understand the different methods and considerations involved in automatically generating text summaries for diverse applications.
Not ideal if you're looking for a specific, ready-to-use summarization tool without needing to understand the underlying techniques or make implementation decisions.
Stars
1,312
Forks
205
Language
—
License
MIT
Category
Last pushed
Nov 27, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/icoxfog417/awesome-text-summarization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
theamrzaki/text_summurization_abstractive_methods
Multiple implementations for abstractive text summurization , using google colab
mast-group/tassal
Tree-based Autofolding Software Summarization Algorithm
MohanKrishnaGR/Infosys_Text-Summarization
This repository contains the implementation of a Transformer-based model for abstractive text...
joplin/plugin-ai-summarisation
🤖 Joplin AI - Summarisation: The project aims to create note summaries to help users synthesize...
AR621/Summ3r-y
Summarization web service via the use of OpenAI Whisper and GPT-3 models