higgood med-jargon-explain-inator issues

higgood / med-jargon-explain-inator

Forking this so that we can associate tasks with the relevant repo. The ownership of this project belongs to all team members, and not to HIGG. HIGG is only sponsoring to facilitate project management.

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Define and implement an API endpoint for retrieving a list of definitions given a phrase/term.

#20 wammar opened 2 days ago
0
upload reading ease evaluation files

#19 zepam opened 2 days ago
1
added cleaned umls term and def files

#18 ecm68 opened 3 days ago
0
NEW - Create NER script using promptify for LLM pipeline

#17 XinyiXiang opened 5 days ago
1
Set up the test pipeline for this project.

#16 wammar closed 2 days ago
3
superficial edit to demo PRs

#15 wammar opened 1 week ago
0
Merge the two indepdently created feature-based questionnaires.

#14 jonjiang1 closed 1 week ago
0
Evaluate readability of definition

#13 jonjiang1 opened 1 week ago
4
Simplify a definition

#12 jonjiang1 opened 1 week ago
1
Train a named-entity recognition model (via prompt tuning or some other method)

#11 jonjiang1 opened 1 week ago
1
Filter the list of jargon to remove any non-medical terms

#10 jonjiang1 opened 1 week ago
2
Compile (and commit to repo) list of jargon

#9 jonjiang1 opened 1 week ago
2
Score definitions based on relevance for a given context (not complexity)

#8 jonjiang1 opened 1 week ago
4
Identify ~2 comprehensive medical jargon lists/databases

#7 wammar opened 2 weeks ago
1
Sending out the UXR questionnaire(s) for users to fill out.

#6 wammar opened 2 weeks ago
4
Classify each dictionary item into a difficulty level.

#5 wammar opened 2 weeks ago
2
Design encoder-decoder text simplification model

#4 wammar opened 2 weeks ago
1
Work with HS Library to continue search for databases

#3 zepam closed 1 week ago
2
Find and download the training sets for the encoder-decoder sentence simplification model

#2 wammar opened 2 weeks ago
1
Reconcile the two feature-based UXR surveys.

#1 wammar closed 3 weeks ago
1