Thanks to visit codestin.com
Credit goes to github.com

Skip to content

harimenath/gym-summarizer

Repository files navigation

gym-summarizer

The Summarizer environment is a domain for text generation in the context of summarization.

Extractive Summarization

Generate summaries by extracting sentences from reference documents.

How to replicate experiments

  1. Download CNN-DailyMail finished file binaries;
  2. Use gym_summarizer.utils.BatchCNNDMLoader to precompute embeddings (WARNING: precomputing will take a very long time and the resulting files will occupy >30Gb of storage);
  3. Use run_experiment.py and evaluate_model.py to train agents and evaluate them.

About

An open-ai gym env for summarization

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages