arXiv：cs.CL· Lifeng Han, Paul Rayson, Andrew Moore, Goran Nenadic, Suzan Verberne·· 3 小时前AI 评分32
HealthcareNLP：现状与下一步方向
HealthcareNLP: where are we and what is next?
AI 导读
一篇 LREC 2026 教程系统梳理了面向患者与资源的 HealthcareNLP 三大层次：数据/资源层（标注指南、伦理审批、治理、合成数据）、NLP-Eval 层（NER、RE、情感分析、链接与编码等可解释 HealthAI 任务）和患者层（PPIE、健康素养、翻译、简化、摘要与共享决策支持）。
正文
Abstract:This tutorial focused on Healthcare Domain Applications of NLP, what we have achieved around HealthcareNLP, and the challenges that lie ahead for the future. Existing reviews in this domain either overlook some important tasks, such as synthetic data generation for addressing privacy concerns, or explainable clinical NLP for improved integration and implementation, or fail to mention important methodologies, including retrieval augmented generation and the neural symbolic integration of LLMs and KGs. In light of this, the goal of this tutorial is to provide an introductory overview of the most important sub-areas of a patient- and resource-oriented HealthcareNLP, with three layers of hierarchy: data/resource layer: annotation guidelines, ethical approvals, governance, synthetic data; NLP-Eval layer: NLP tasks such as NER, RE, sentiment analysis, and linking/coding with categorised methods, leading to explainable HealthAI; patients layer: Patient Public Involvement and Engagement (PPIE), health literacy, translation, simplification, and summarisation (also NLP tasks), and shared decision-making support. A hands-on session will be included in the tutorial for the audience to use HealthcareNLP applications. The target audience includes NLP practitioners in the healthcare application domain, NLP researchers who are interested in domain applications, healthcare researchers, and students from NLP fields. The type of tutorial is "Introductory to CL/NLP topics (HealthcareNLP)" and the audience does not need prior knowledge to attend this. Tutorial materials: this https URL
| Comments: | Presented Tutorial at LREC 2026 this https URL |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2512.08617 [cs.CL] |
| (or arXiv:2512.08617v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2512.08617 arXiv-issued DOI via DataCite |
Submission history
From: Lifeng Han Dr [view email]
[v1]
Tue, 9 Dec 2025 14:01:51 UTC (148 KB)
[v2]
Wed, 7 Oct 2026 15:34:32 UTC (179 KB)
来源：arXiv：cs.CL · arxiv.org