Extraction of Problem Events from Web Documents to Construct Cause-Effect Loop

Authors

  • Chaveevan Pechsiri College of Innovative of Technology and Engineering, Dhurakij Pundit University,Bangkok,Thailand
  • Renu Sukharomana Institute for Social and Economic Sciences, TRF, Bangkok, Thailand

Keywords:

Cause-Effect Series, N-WordCo, Cause-Effect Loop,

Abstract

This research aims to extract problem events, particularly cause-effect concept pair series with explanations by several simple sentences with causative/effect concepts, from web documents of drug addiction. The extracted problem events are used to construct cause-effect loop which benefits for the problem analysis in the solving system. The research has three problems; how to determine the cause/effect event concepts expressed by verb phrases having a problem of the overlap between causative-verb concepts and effect-verb concepts, how to determine the series of cause-effect concept pairs with the causative/effect concept boundary consideration, and how to determine the feedback-loop of cause-effect concept pair series. Therefore, we apply the event rate to solve the overlap problem. We then propose using N-WordCo to determine the cause-effect concept pair series and also use a cue-word set to solve the feedback-loop. The research results provide the high precision of the problem event extraction from the documents.

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Published

2018-07-05

How to Cite

Pechsiri, C., & Sukharomana, R. (2018). Extraction of Problem Events from Web Documents to Construct Cause-Effect Loop. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-8), 37–41. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4455

Issue

Vol. 10 No. 2-8: Embracing The 4th Industrial Revolution: Innovation in Telecommunication, Electronic & Computer Engineering IV

Section

Articles

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