KID model realization using memory networks for text-based Q/A analyses and learning

Jiandong Li, Runhe Huang, Kevin I.Kai Wang, Jiannong Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

KID (Knowledge-Information-Data) model as a cognitive model was initially proposed for business intelligence by Huang's research team. It aims to mimic human-like cognitive learning by abstracting human information processing into the following three stages: data interpretation, information assimilation and knowledge instantiation. It is a model with highlevel abstraction and a generic framework which can accommodate a variety of realistic cognitive learning applications. 'Memory networks' referring to an architecture for memorizing what learned in networks and performing training jointly with other machine learning methods. It consists of four components: input, generalization, output and response components and longterm memory. In this study, we put efforts on closely looking at both the KID model and components of 'memory networks' architecture so as to understand their relations with which they jointly work for some potential applications. It is found that 'memory networks' can provide a partial realization for the KID model and this paper describes how the 'memory networks', in particular, the enhanced version called 'end-to-end memory' is adopted for realizing the KID model for text-based question answering learning.

Original languageEnglish
Title of host publicationProceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-108
Number of pages8
ISBN (Electronic)9781728130248
DOIs
Publication statusPublished - Aug 2019
Event17th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019 - Fukuoka, Japan
Duration: 5 Aug 20198 Aug 2019

Publication series

NameProceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019

Conference

Conference17th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019
CountryJapan
CityFukuoka
Period5/08/198/08/19

Keywords

  • Cognitive analysis
  • KID model
  • Memory networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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