acl-org / acl-org/reviewer-paper-matching
Interpretability of the Similarity Model and Scores
Open
- Dominant language
- Python
- Stars
- 26
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
@fxiafxia and I were never quite clear on how exactly the similarity model for this worked, or how to interpret the scores. We thought this could be addressed a little more in the readme
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the README and locate the existing explanations of the similarity model and its scores. Compare the documentation with the project's current behavior, then expand the README so a newcomer can understand how the model works and interpret its scores.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100