Automatic classification of citation function

Simone Teufel, Advaith Siddharthan, Dan Tidhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

208 Citations (Scopus)

Abstract

Citation function is dened 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.
Original languageEnglish
Title of host publicationProceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP'06)
Subtitle of host publicationDiscourse
Place of PublicationMorristown, NJ, USA
PublisherACL
Pages103-110
ISBN (Print)1932432736
Publication statusPublished - 2006
Event2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006) - Sydney, Australia
Duration: 22 Jul 200623 Jul 2006

Conference

Conference2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006)
CountryAustralia
CitySydney
Period22/07/0623/07/06

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Teufel, S., Siddharthan, A., & Tidhar, D. (2006). Automatic classification of citation function. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP'06): Discourse (pp. 103-110 ). Morristown, NJ, USA : ACL.