Please use this identifier to cite or link to this item: 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
Source: 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
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