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Pegasus X Sumstew

Developed by Joemgu
An English long-text summarization model fine-tuned based on Pegasus-x-large, supporting abstractive summarization of complex texts such as academic manuscripts and meeting minutes
Downloads 31
Release Time : 5/2/2023

Model Overview

This model is fine-tuned on filtered subsets of CNN/Daily Mail, Samsum, Booksum, and Laysum datasets, specifically designed for generating abstractive summaries of long texts

Model Features

Long Text Processing Capability
Optimized specifically for texts exceeding 1000 words, capable of effectively handling complex content structures
Multi-domain Adaptability
Trained on various text types including news, dialogues, books, and academic papers, with domain generalization capabilities
Abstractive Summarization
Not only extracts key sentences but also generates abstractive summaries with semantic reconstruction

Model Capabilities

Long Text Summarization
Multi-domain Text Understanding
Semantic Reconstruction

Use Cases

Academic Research
Research Paper Summarization
Generates easily understandable summaries for lengthy academic papers
Helps non-specialist readers quickly grasp the core content of papers
Literary Creation
Book Chapter Summarization
Generates plot summaries for literary works
Provides key plot overviews while preserving the original writing style
Business Documentation
Meeting Minutes Summarization
Extracts decision points from lengthy meeting minutes
Generates concise summaries including key decisions and action items
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