Separating Extractive and Abstractive summarization results

sebastianruder / NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

https://nlpprogress.com/

MIT License

22.58k stars 3.61k forks source link

Separating Extractive and Abstractive summarization results #325

Closed astariul closed 5 years ago

astariul commented 5 years ago

Currently results for both abstractive and extractive summarization is in the same table.

The ROUGE score for these are not comparable. Maybe extractive and abstractive summarization should be separated.

nlpyang commented 5 years ago

I have requested a pull regarding this https://github.com/sebastianruder/NLP-progress/pull/326#issue-311579509

sebastianruder commented 5 years ago

Thanks for adding this! PR is merged. 👍