Abstract
Due to the recent replacements of physical documents with electronic medical records (EMR), the importance of information processing in medical fields has been increased. We have been organizing the MedNLP task series in NTCIR-10 and 11. These workshops were the first shared tasks which attempt to evaluate technologies that retrieve important information from medical reports written in Japanese. In this report, we describe the NTCIR-12 MedNLPDoc task which is designed for more advanced and practical use for the medical fields. This task is considered as a multi-labeling task to a patient record. This report presents results of the shared task, discusses and illustrates remained issues in the medical natural language processing field.- Anthology ID:
- W16-4203
- Volume:
- Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann
- Venue:
- ClinicalNLP
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 13–16
- Language:
- URL:
- https://aclanthology.org/W16-4203
- DOI:
- Cite (ACL):
- Eiji Aramaki, Yoshinobu Kano, Tomoko Ohkuma, and Mizuki Morita. 2016. MedNLPDoc: Japanese Shared Task for Clinical NLP. In Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP), pages 13–16, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- MedNLPDoc: Japanese Shared Task for Clinical NLP (Aramaki et al., ClinicalNLP 2016)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/W16-4203.pdf