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https://doi.org/10.1109/INFRKM.2010.5466945
Title: | Identifying citing sentences in research papers using supervised learning | Authors: | Sugiyama, K. Kumar, T. Kan, M.-Y. Tripathi, R.C. |
Keywords: | Citation analysis Digital library Discourse processing Information retrieval |
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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