Detecting Korean Hedge Sentences in Wikipedia Documents
Authors | Shin-Jae Kang Ju-Seok Jeong In-Su Kang |
|---|---|
Publication date | 2012 |
DOI | 10.1007/978-3-642-32645-5_91 |
Links | Original |
Detecting Korean Hedge Sentences in Wikipedia Documents - scientific work related to Wikipedia quality published in 2012, written by Shin-Jae Kang, Ju-Seok Jeong and In-Su Kang.
Overview
In this paper authors propose automatic hedge detection methods for Korean. Authors select sentential contextual features adjusted for Korean, and used supervised machine-learning algorithms to train models to detect hedges in Wikipedia documents. Authors SVM-based model achieved an F1-score of 90.8% for Korean.
