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.