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Automatic Construction of Expiration Time Expression Dataset from Retweets

by Hirotaka Nagashima, Keishi Tajima

Abstract

Documents describing information with expiration time often include time expressions specifying the expiration time. To train a classifier determining if a time expression represents an expiration time, we need a labeled dataset. We propose a method of automatically constructing such a dataset. Our method collects tweets including time expressions, and automatically determines whether the time expressions represent expiration times based on temporal changes in the frequency of retweets. Our experimental result shows that our method produces an effective dataset.

Full Text: free download from ACM

Poster: pdf

Promo Video: video

Keywords

validity period; lifetime duration; automatic labeling
Companion Proc. of The Web Conference, pp.545-548, Singapore, 2024


tajima@i.kyoto-u.ac.jp / Fax: +81(Japan) 75-753-5978 / Office: Research Bldg. #7, room 404