ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base (ExoTime: 지식베이스를 활용한 한국어 텍스트로부터의 시간 정보 추출)

Young-Seob Jeong (정영섭); Chae-Gyun Lim (임채균); Ho-Jin Choi (최호진)

doi:10.9708/jksci.2017.22.12.035

ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2017, 22(12), pp.35-48
DOI : 10.9708/jksci.2017.22.12.035
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : October 21, 2017
Accepted : December 4, 2017
Published : December 29, 2017

Young-Seob Jeong ¹, Chae-Gyun Lim ², Ho-Jin Choi ²

¹순천향대학교
²한국과학기술원

Accredited

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

Citation status

* References for papers published after 2023 are currently being built.

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[confproc] M. Verhagen / 2010 / SemEval-2010 task 13: TempEval-2 / Proceedings of the Fifth International Workshop on Semantic Evaluation : 57~62

[confproc] N. UzZaman / 2013 / SemEval-2013 Task 1: TEMPEVAL-3: Evaluating Time Expressions, Events, and Temporal Relations / Proceedings of the Seventh International Workshop on Semantic Evaluation : 1~9

[confproc] A. Berglund / 2006 / A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes / Proceedings of the 11st Conference of the European Chapter of the Association for Computational Linguistics : 385~392

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[confproc] G. Angeli / 2013 / Language-Independent Discriminative Parsing of Temporal Expressions / Proceedings of the 51th Annual Meeting of the Association for Computational Linguistics

[confproc] Y. S. Jeong / 2016 / Korean TimeML and Korean TimeBank / Proceedings of the 10th edition of the Language Resources and Evaluation Conference : 356~359

[confproc] S. Lim / 2006 / Syntax Analysis of Enumeration type and Parallel Type Using Maximum Entropy Model / Proceedings of the Korea Human Computer Interaction Conference : 1240~1245

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[web] / CRF++ library / http://crfpp.googlecode.com/svn/trunk/doc/index.html

[web] / MEM toolkit / http://homepages.inf.ed.ac.uk/lzhang10/maxent_toolkit

This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

ExoTime: Temporal Information Extraction from Korean Texts Using Knowledge Base

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.