Automatic Classification of Citation Function

Teufel, Simone; Siddharthan, Advaith and Tidhar, Dan (2006). Automatic Classification of Citation Function. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Stroudsburg PA, pp. 103–110.

URL:	http://www.aclweb.org/anthology/W06-1613
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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.

Item Type:	Conference or Workshop Item
Copyright Holders:	2006 Association for Computational Linguistics
Academic Unit/School:	Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM)
Related URLs:	https://nlp.stanford.edu/emnlp06/(Other)
Item ID:	58872
Depositing User:	Advaith Siddharthan
Date Deposited:	30 Jan 2019 15:51
Last Modified:	29 Mar 2019 11:13
URI:	http://oro.open.ac.uk/id/eprint/58872
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