Skip to content

Add warning about METEOR version and flag-induced score variance #677

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions metrics/meteor/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -116,6 +116,9 @@ While the correlation between METEOR and human judgments was measured for Chines

Furthermore, while the alignment and matching done in METEOR is based on unigrams, using multiple word entities (e.g. bigrams) could contribute to improving its accuracy -- this has been proposed in [more recent publications](https://www.cs.cmu.edu/~alavie/METEOR/pdf/meteor-naacl-2010.pdf) on the subject.

Scores differ by up to **±10 points** across v1.0↔v1.5 and flag combinations (`-l`, `-norm`, `-vOut`).
Pin the Java package and document your flags. This uses the NLTK implementation (METEOR v1.0).
[Lübbers, 2024](https://github.com/cluebbers/Reproducibility-METEOR-NLP)

## Citation

Expand Down