tagucci/pythonrouge

Python wrapper for evaluating summarization quality by ROUGE package

47
/ 100
Emerging

This tool helps researchers and developers working on text summarization evaluate how good their automatically generated summaries are. You provide your system's summaries and a set of human-written reference summaries, and it calculates various ROUGE scores like ROUGE-1, ROUGE-2, and ROUGE-SU4. This is for anyone building or comparing automated summarization models.

162 stars. No commits in the last 6 months.

Use this if you need to objectively measure the quality of machine-generated text summaries against human-written references without manually preparing XML files.

Not ideal if you are looking for a tool to generate summaries or need to evaluate text quality for tasks other than summarization.

text summarization natural language processing computational linguistics content evaluation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

How are scores calculated?

Stars

162

Forks

34

Language

Perl

License

MIT

Last pushed

May 25, 2020

Commits (30d)

0

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