Development of a Medical Incident Report Corpus with Intention and Factuality Annotation

Hongkuan Zhang, Ryohei Sasano, Koichi Takeda, Zoie Shui-Yee Wong


Abstract
Medical incident reports (MIRs) are documents that record what happened in a medical incident. A typical MIR consists of two sections: a structured categorical part and an unstructured text part. Most texts in MIRs describe what medication was intended to be given and what was actually given, because what happened in an incident is largely due to discrepancies between intended and actual medications. Recognizing the intention of clinicians and the factuality of medication is essential to understand the causes of medical incidents and avoid similar incidents in the future. Therefore, we are developing an MIR corpus with annotation of intention and factuality as well as of medication entities and their relations. In this paper, we present our annotation scheme with respect to the definition of medication entities that we take into account, the method to annotate the relations between entities, and the details of the intention and factuality annotation. We then report the annotated corpus consisting of 349 Japanese medical incident reports.
Anthology ID:
2020.lrec-1.563
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4578–4584
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.563
DOI:
Bibkey:
Cite (ACL):
Hongkuan Zhang, Ryohei Sasano, Koichi Takeda, and Zoie Shui-Yee Wong. 2020. Development of a Medical Incident Report Corpus with Intention and Factuality Annotation. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4578–4584, Marseille, France. European Language Resources Association.
Cite (Informal):
Development of a Medical Incident Report Corpus with Intention and Factuality Annotation (Zhang et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.563.pdf