|
--- |
|
language: |
|
- en |
|
bigbio_language: |
|
- English |
|
license: apache-2.0 |
|
bigbio_license_shortname: APACHE_2p0 |
|
multilinguality: monolingual |
|
pretty_name: Paragraph-level Simplification of Medical Texts |
|
homepage: https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts |
|
bigbio_pubmed: false |
|
bigbio_public: true |
|
bigbio_tasks: |
|
- SUM |
|
paperswithcode_id: paragraph-level-simplification-of-medical |
|
--- |
|
|
|
|
|
# Dataset Card for Paragraph-level Simplification of Medical Texts |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:** https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts |
|
- **Pubmed:** False |
|
- **Public:** True |
|
- **Tasks:** SUM |
|
|
|
|
|
This dataset is designed for the summarization NLP task. It is a |
|
collection of technical abstracts of biomedical systematic reviews |
|
and corresponding plain-language summaries (PLS) from the Cochrane |
|
Database of Systematic Reviews, which comprises thousands of evidence |
|
synopses (where authors provide an overview of all published evidence |
|
relevant to a particular clinical question or topic). The PLS are |
|
written by review authors; Cochrane’s PLS standards recommend that |
|
“the PLS should be written in plain English which can be understood by |
|
most readers without a university education”. PLS are not parallel with |
|
every sentence in the abstract; on the contrary, they are structured heterogeneously. |
|
|
|
|
|
## Citation Information |
|
|
|
``` |
|
@inproceedings{devaraj-etal-2021-paragraph, |
|
title = "Paragraph-level Simplification of Medical Texts", |
|
author = "Devaraj, Ashwin and Marshall, Iain and Wallace, Byron and Li, Junyi Jessy", |
|
booktitle = {Proceedings of the 2021 Conference of the North |
|
American Chapter of the Association for Computational Linguistics}, |
|
month = jun, |
|
year = "2021", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://www.aclweb.org/anthology/2021.naacl-main.395", |
|
pages = "4972--4984", |
|
} |
|
``` |
