Lightning-AI / Lightning-AI/torchmetrics
Support sequence tagging evaluation metrics (NLP)
Open
Nobody has claimed this yet.
enhancement
New metric
waiting on author
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 526
- Avg merge
- 6d 11h
- Merged PRs (30d)
- 5
Description
🚀 Feature
Support for sequence tagging evaluation metrics à la seqeval. That is, support the evaluation of the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are named in the issue. Start by comparing the requested sequence-tagging metrics with seqeval, then identify the relevant torchmetrics entry point. Done means supporting evaluation for chunking tasks such as named-entity recognition, part-of-speech tagging, and semantic role labeling.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100