Finding relevant features for Korean comparative sentence extraction

Authors:
Seon Yang;Youngjoong Ko
Affiliations:
Dept. of Computer Engineering, Dong-A University, 840, Hadan 2-dong, Saha-gu, Busan 604-714, Republic of Korea;Dept. of Computer Engineering, Dong-A University, 840, Hadan 2-dong, Saha-gu, Busan 604-714, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2011

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Abstract

In this paper, we study how to extract comparative sentences from Korean text documents. We decompose our task into three steps: (1) collecting comparative keywords; (2) extracting comparative-sentence candidates by keyword searching; and (3) eliminating non-comparative sentences from these candidates using machine learning techniques. We perform various experiments to find relevant features. As a result, our experiments show significant performance, an F1-score of 90.23%.