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Teufel, Simone; Siddharthan, Advaith and Tidhar, Dan
(2006).
URL: http://www.aclweb.org/anthology/W06-1613
Abstract
Citation function is defined as the author’s reason for citing a given paper (e.g. acknowledgement of the use of the cited method). The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improvement of impact factor calculations to text summarisation and more informative citation indexers. We show that our annotation scheme for citation function is reliable, and present a supervised machine learning framework to automatically classify citation function, using both shallow and linguistically-inspired features. We find, amongst other things, a strong relationship between citation function and sentiment classification.
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- Item ORO ID
- 58872
- Item Type
- Conference or Workshop Item
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2006 Association for Computational Linguistics
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- Depositing User
- Advaith Siddharthan