Abstract
Researchers have largely focused on analyzing citation links from one scholarly work to another. Such citing sentences are an important part of the narrative in a research article. If we can automatically identify such sentences, we can devise an editor that helps suggest when a particular piece of text needs to be backed up with a citation or not. In terms of this point, we propose a method for identifying citing sentences by constructing a classifier using supervised learning.
Publication
Members
Tarun Kumar (Alumni Undergraduate Students)- [insert_php] echo get_avatar( $id_or_email=’sugiyama@comp.nus.edu.sg’, $size=30 ); [/insert_php] Kazunari Sugiyama (Project Lead)
- [insert_php] echo get_avatar( $id_or_email=’kanmy@comp.nus.edu.sg’, $size=30 ); [/insert_php] Min-Yen Kan (Advisor and Professor)
- [insert_php] echo get_avatar( $id_or_email=’animeshprasad3@gmail.com’, $size=30 ); [/insert_php] Animesh Prasad (Graduate Student)
Su Xuan(Alumni Undergraduate Students)- Ramesh C. Tripathi