TransformerSum: Summarization Training and Inference Library

General:

• About
  • Overview
  • Features
  • Significant People
  • Extractive vs Abstractive Summarization
  • ROUGE Scores
• Getting Started
  • Install
  • Tutorial
  • Long Sequence Summarization
• Main Script
• Differences from PreSumm/BertSum
  • General
  • Converting a Dataset to Extractive
  • Pooling for Extractive Models
  • Data for Extractive Models
  • Extractive Model and Training
  • Abstractive Model and Training
  • Where BertSum is Better
• General API Reference
  • Helpers

Extractive:

• Extractive Pre-trained Models & Results
  • Notes
  • CNN/DM
  • WikiHow
  • arXiv-PubMed
• Extractive Supported Datasets
  • CNN/DM
  • WikiHow
  • PubMed/ArXiv
• Convert Abstractive to Extractive Dataset
  • Overview
  • Option 1: Manual Data Download
  • Option 2: Automatic pre-processing through nlp
  • Convert To Extractive Tips
  • Custom Datasets
  • Script Help
• Automatic Preprocessing
• Training an Extractive Summarization Model
  • Details
  • Pooling Modes
  • Custom Models
  • Script Help
• Experiments
  • Version 3
  • Version 2
  • Version 1
• Extractive API Reference
  • Model/Module
  • Data
  • Pooling
  • Classifier
  • Convert To Extractive

Abstractive:

• Abstractive Pre-trained Models & Results
  • BART Converted to LongformerEncoderDecoder
  • arXiv-PubMed
  • Individual ArXiv and PubMed models
• Abstractive Supported Datasets
  • Custom Datasets
• Training an Abstractive Summarization Model
  • Example
  • Abstractive Long Summarization
  • Script Help
• Abstractive API Reference
  • Model/Module

Indices and tables

• Index

• Module Index

• Search Page