Skip to content

Issues: nasa-petal/PeTaL-labeller

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.

Sign up for GitHub

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

24 Open 36 Closed
24 Open 36 Closed
Author
Filter by author
Loading
Label
Filter by label
Loading
Use alt + click/return to exclude labels
or ⇧ + click/return for logical OR
Projects
Filter by project
Loading
Milestones
Filter by milestone
Loading
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated Best match
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀

Issues list

Match vocab file PeTaL.emb help wanted Extra attention is needed
#86 opened Oct 9, 2021 by pjuangph
@elkong @dsmith111
1
Explore tokenizer optimization strategies to improve precision/recall.
#84 opened Sep 2, 2021 by bruffridge
1 task done
Try using a tree of multilabel classifiers
#81 opened Aug 4, 2021 by bruffridge
1
Look into Label Studio to help increase the size of our labelled dataset for training data-quantity
#80 opened Aug 2, 2021 by bruffridge
Try Google Cloud AutoML Natural Language's multilabel text classification on golden dataset
#78 opened Jul 30, 2021 by bruffridge
@bruffridge
1
try to use a language model like GPT-2 for its general-purpose language understanding capabilities (and then integrate it with the MATCH classification task somehow)
#76 opened Jul 29, 2021 by bruffridge
See if using an ensemble method with MATCH improves performance.
#75 opened Jul 29, 2021 by bruffridge
Use a large ensemble of single-label classifiers (so, treat all of the labels independently, ignore the hierarchy, and we have a hundred separate yes/no tasks) and see if this works better than MATCH
#74 opened Jul 29, 2021 by bruffridge
@elkong
See how replacing random weights with pretrained and fine-tuned weights in MATCH affects performance
#72 opened Jul 28, 2021 by bruffridge
@elkong
4
Create a binary classification filtering model for the top 25% of labels
#69 opened Jul 21, 2021 by bruffridge
@elkong @dsmith111
Use open-source Snorkel to create labelling functions to expand our training dataset. data-quantity
#65 opened Jul 2, 2021 by bruffridge
@ARalevski
2
Compare MATCH results to auto-sklearn
#56 opened Jun 25, 2021 by bruffridge
@elkong @dsmith111
1
Build a data pipeline for running unlabelled papers through the labeller
#45 opened Jun 17, 2021 by bruffridge
@Simarkohli24
5
Look into how we might use SPECTER to improve our labeller
#41 opened Jun 3, 2021 by bruffridge
@pjuangph
4
Identify the characteristics of a paper describing thermal management in nature
#39 opened Jun 3, 2021 by bruffridge
@CkUnsworth @ARalevski
Make use of the citation graph to improve labeling
#37 opened May 31, 2021 by hschilling
1 of 2 tasks
1
Investigate TF-IDF enhancement New feature or request
#36 opened May 27, 2021 by pjuangph
@hschilling @pjuangph
Look into most cost effective way to run the Sagemaker endpoint
#33 opened May 14, 2021 by bruffridge
1 task done
Adapt Huggingface predictor to PubMed enhancement New feature or request
#28 opened May 6, 2021 by pjuangph
@pjuangph @ARalevski @dsmith111
1
Look into domain adaptive pre-training
#24 opened Apr 28, 2021 by bruffridge
Test out how well the ML model abstains from applying labels to abstracts that don't belong within the biomimicry taxonomy.
#19 opened Apr 22, 2021 by bruffridge
2
Instrument Labebller using WandB
#18 opened Apr 21, 2021 by pyvelepor
1 of 2 tasks
CORE dataset vs. Semantic Scholar
#17 opened Apr 16, 2021 by bruffridge
@dinopanda @CkUnsworth @ARalevski
1
Article Ranking System
#7 opened Jan 21, 2021 by shrutix
@shrutix
ProTip! no:milestone will show everything without a milestone.