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|Title:||Identifying citing sentences in research papers using supervised learning||Authors:||Sugiyama, K.
|Issue Date:||2010||Citation:||Sugiyama, K.,Kumar, T.,Kan, M.-Y.,Tripathi, R.C. (2010). Identifying citing sentences in research papers using supervised learning. Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10 : 67-72. ScholarBank@NUS Repository. https://doi.org/10.1109/INFRKM.2010.5466945||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 this paper, we propose a method for identifying citing sentences by constructing a classifier using supervised learning. Our experiments show that simple language features such as proper nouns and the labels of previous and next sentences are effective features to identifying citing sentences. ©2010 IEEE.||Source Title:||Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10||URI:||http://scholarbank.nus.edu.sg/handle/10635/41321||ISBN:||9781424456512||DOI:||10.1109/INFRKM.2010.5466945|
|Appears in Collections:||Staff Publications|
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