Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1402-1409

Intent understanding and entity extraction algorithm for medical consultation based on intent-slot attention mechanism

Wang Yulianga
Yang Guancia,b
Luo Kexinc
a. Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, b. State Key Laboratory of Public Big Data, c. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0547

Abstract

Natural language understanding is a key component in medical dialogue, contains two important subtasks of intent classification and slot filling. In order to establish the mutual facilitation relationship between intents and slots and to achieve modeling at the semantic level, this paper proposed an intent understanding and entity extraction algorithm for medical consultation based on the intent-slot attention mechanism. Firstly, this paper collected users' health question texts on medical information websites, summarized 24 types of medical intents and 5 types of slots based on medical knowledge, and constructed the Chinese medical and health consultation dataset(CMISD-UQS). Then, this paper introduced a slot selection pass-through mechanism to model the explicit relationship between intent and slot vectors, and designed an intent-slot attention mechanism layer to construct a method to embed intent context information into slots as intent label vectors. Finally, the results of comparative experiments with eight representative algorithms on public datasets ATIS and SNIPS show that the proposed algorithm is better than other algorithms. The test results on CMISD-UQS dataset show that the accuracy of medical intent classification, semantic slot filling F1 value, and sentence-level semantic frame accuracy of the proposed algorithm reaching 78.1%, 94.9%, and 73.2%, respectively, which are better than other comparison algorithms.

Foundation Support

国家自然科学基金资助项目(62163007,61863005)
贵州省科技计划资助项目(黔科合平台人才［2020］6007,黔科合支撑［2023］一般118和［2021］一般439)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0547
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1402-1409
Serial Number: 1001-3695(2023)05-018-1402-08

Publish History

[2023-01-04] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

王宇亮, 杨观赐, 罗可欣. 基于意图—槽位注意机制的医疗咨询意图理解与实体抽取算法 [J]. 计算机应用研究, 2023, 40 (5): 1402-1409. (Wang Yuliang, Yang Guanci, Luo Kexin. Intent understanding and entity extraction algorithm for medical consultation based on intent-slot attention mechanism [J]. Application Research of Computers, 2023, 40 (5): 1402-1409. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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