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Extraction of a group-pair relation: problem-solving relation from web-board documents.
- Source :
-
SpringerPlus . 8/5/2016, Vol. 5 Issue 1, p1-25. 25p. - Publication Year :
- 2016
-
Abstract
- This paper aims to extract a group-pair relation as a Problem-Solving relation, for example a DiseaseSymptom-Treatment relation and a CarProblem-Repair relation, between two event-explanation groups, a problem-concept group as a symptom/CarProblem-concept group and a solving-concept group as a treatment-concept/repair concept group from hospital-web-board and car-repair-guru-web-board documents. The Problem-Solving relation (particularly Symptom-Treatment relation) including the graphical representation benefits non-professional persons by supporting knowledge of primarily solving problems. The research contains three problems: how to identify an EDU (an Elementary Discourse Unit, which is a simple sentence) with the event concept of either a problem or a solution; how to determine a problem-concept EDU boundary and a solving-concept EDU boundary as two event-explanation groups, and how to determine the Problem-Solving relation between these two event-explanation groups. Therefore, we apply word co-occurrence to identify a problem-concept EDU and a solving-concept EDU, and machine-learning techniques to solve a problem-concept EDU boundary and a solving-concept EDU boundary. We propose using k-mean and Naïve Bayes to determine the Problem-Solving relation between the two event-explanation groups involved with clustering features. In contrast to previous works, the proposed approach enables group-pair relation extraction with high accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21931801
- Volume :
- 5
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- SpringerPlus
- Publication Type :
- Academic Journal
- Accession number :
- 117264900
- Full Text :
- https://doi.org/10.1186/s40064-016-2864-3