all AI news
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
Feb. 21, 2024, 5:49 a.m. | Zefa Hu, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu
cs.CL updates on arXiv.org arxiv.org
Abstract: This paper focuses on term-status pair extraction from medical dialogues (MD-TSPE), which is essential in diagnosis dialogue systems and the automatic scribe of electronic medical records (EMRs). In the past few years, works on MD-TSPE have attracted increasing research attention, especially after the remarkable progress made by generative methods. However, these generative methods output a whole sequence consisting of term-status pairs in one stage and ignore integrating prior knowledge, which demands a deeper understanding to …
abstract arxiv attention cs.cl diagnosis dialogue electronic extraction framework generative information information extraction knowledge medical medical records paper progress records research stage systems type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne