ExoTime: 지식베이스를 활용한 한국어 텍스트로부터의 시간 정보 추출ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base
- Other Titles
- ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base
- Authors
- 정영섭; 임채균; 최호진
- Issue Date
- 2017
- Publisher
- 한국컴퓨터정보학회
- Keywords
- temporal information extraction; temporal expression; temporal relation; Korean TimeBank
- Citation
- 한국컴퓨터정보학회논문지, v.22, no.12, pp.35 - 48
- Journal Title
- 한국컴퓨터정보학회논문지
- Volume
- 22
- Number
- 12
- Start Page
- 35
- End Page
- 48
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/7998
- DOI
- 10.9708/jksci.2017.22.12.035
- ISSN
- 1598-849X
- Abstract
- Extracting temporal information from documents is becoming more important, because it can be used to various applications such as Question-Answering (QA) systems, Recommendation systems, or Information Retrieval (IR) systems. Most previous studies only focus on English documents, and they are not applicable to the other languages due to the inherent characteristics of languages. In this paper, we propose a new system, named ExoTime, designed to extract temporal information from Korean documents. The ExoTime adopts an external Knowledge Base (KB) in order to achieve better prediction performance, and it also applies a bagging method to the temporal relation prediction. We show that the effectiveness of the proposed approaches by empirical results using Korean TimeBank.
The ExoTime system works as a part of ExoBrain that is an artificial intelligent QA system.
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