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The automatic recognition of the rhetori- cal function of citations in scientic text has many applications, from improvement of impact factor calculations to text sum- marisation and more informative citation indexers. Citation function is dened as the author's reason for citing a given pa- per (e.g. acknowledgement of the use of the cited method). We show that our annotation scheme for citation func- tion is reliable, and present a supervised machine learning framework to automati- cally classify citation function, which uses several shallow and linguistically-inspired features. We nd, amongst other things, a strong relationship between citation func- tion and sentiment classication.