Overview - Plain-Language Adaptation of Biomedical Abstracts 2024ΒΆ
Proceedings | Data | Runs | Participants
The goal of the PLABA track is to improve health literacy by adapting biomedical abstracts for the general public using plain language. When adapting, source sentences may be split, in which case the output for one source sentence will be multiple target sentences. However, source sentences may not be merged, and the output for a given source sentence should not contain information from other source sentences. Both source and output will be in English. An example of adaptation is below.
Track coordinator(s):
- Brian Ondov, Yale School of Medicine
- Bill Xia, U.S. National Library of Medicine
- Ishita Unde, U.S. National Library of Medicine
- Dina Demner-Fushman, U.S. National Library of Medicine
- Hoa T. Dang, NIST
Tasks:
term: Term replacementadapt: Complete abstract adaptation