[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2022.27.12.041

Rule-based Normalization of Relative Temporal Information

Jeong, Young-Seob (Department of Computer Engineering, Chungbuk National University)
Lim, Chaegyun (School of Computing, KAIST)
Lee, SeungDong (Department of Computer Engineering, Chungbuk National University)
Mswahili, Medard Edmund (Department of Computer Engineering, Chungbuk National University)
Ndomba, Goodwill Erasmo (Department of Computer Engineering, Chungbuk National University)
Choi, Ho-Jin (School of Computing, KAIST)

Publication Information

Journal of the Korea Society of Computer and Information / v.27, no.12, 2022 , pp. 41-49 More about this Journal

Abstract

Documents often contain relative time expressions, and it is important to define a schema of the relative time information and develop a system that extracts such information from corpus. In this study, to deal with the relative time expressions, we propose seven additional attributes of timex3: year, month, day, week, hour, minute, and second. We propose a way to represent normalized values of the relative time expressions such as before, after, and count, and also design a set of rules to extract the relative time information from texts. With a new corpus constructed using the new attributes that consists of dialog, news, and history documents, we observed that our rule-set generally achieved 70% accuracy on the 1,041 documents. Especially, with the most frequently appeared attributes such as year, day, and week, we got higher accuracies compared to other attributes. The results of this study, our proposed timex3 attributes and the rule-set, will be useful in the development of services such as question-answer systems and chatbots.

Keywords

Time information; Timex3; Relative temporal information; Normalization; Information extraction; Rule-based;

Citations & Related Records

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