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http://dx.doi.org/10.9708/jksci.2017.22.12.035

ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base  

Jeong, Young-Seob (Dept. of Big Data Engineering, Soonchunhyang University)
Lim, Chae-Gyun (School of Computing, KAIST)
Choi, Ho-Jin (School of Computing, KAIST)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.12, 2017 , pp. 35-48 More about this Journal
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.
Keywords
temporal information extraction; temporal expression; temporal relation; Korean TimeBank;
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