Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain

Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis Langlotz, Dina Demner-Fushman


Abstract
The MEDIQA 2021 shared tasks at the BioNLP 2021 workshop addressed three tasks on summarization for medical text: (i) a question summarization task aimed at exploring new approaches to understanding complex real-world consumer health queries, (ii) a multi-answer summarization task that targeted aggregation of multiple relevant answers to a biomedical question into one concise and relevant answer, and (iii) a radiology report summarization task addressing the development of clinically relevant impressions from radiology report findings. Thirty-five teams participated in these shared tasks with sixteen working notes submitted (fifteen accepted) describing a wide variety of models developed and tested on the shared and external datasets. In this paper, we describe the tasks, the datasets, the models and techniques developed by various teams, the results of the evaluation, and a study of correlations among various summarization evaluation measures. We hope that these shared tasks will bring new research and insights in biomedical text summarization and evaluation.
Anthology ID:
2021.bionlp-1.8
Volume:
Proceedings of the 20th Workshop on Biomedical Language Processing
Month:
June
Year:
2021
Address:
Online
Venues:
BioNLP | NAACL
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
74–85
Language:
URL:
https://aclanthology.org/2021.bionlp-1.8
DOI:
10.18653/v1/2021.bionlp-1.8
Bibkey:
Cite (ACL):
Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis Langlotz, and Dina Demner-Fushman. 2021. Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. In Proceedings of the 20th Workshop on Biomedical Language Processing, pages 74–85, Online. Association for Computational Linguistics.
Cite (Informal):
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain (Ben Abacha et al., BioNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.bionlp-1.8.pdf
Data
MEDIQA-AnSMeQSum