TY - GEN
T1 - Automatic acknowledgement indexing
T2 - 3rd International Conference on Knowledge Capture, K-CAP'05
AU - Councill, Isaac G.
AU - Giles, C. Lee
AU - Han, Hui
AU - Manavoglu, Eren
PY - 2005
Y1 - 2005
N2 - Acknowledgements in research publications, like citations, indicate influential contributions to scientific work; however, large-scale acknowledgement analyses have traditionally been impractical due to the high cost of manual information extraction. In this paper we describe a mixture method for automatically mining acknowledgements from research documents using a combination of a Support Vector Machine and regular expressions. The algorithm has been implemented as a plug-in to the CiteSeer Digital Library and the extraction results have been integrated with the traditional metadata and citation index of the CiteSeer system. As a demonstration, we use CiteSeer's autonomous citation indexing (ACI) feature to measure the relative impact of acknowledged entities, and present the top twenty acknowledged entities within the archive.
AB - Acknowledgements in research publications, like citations, indicate influential contributions to scientific work; however, large-scale acknowledgement analyses have traditionally been impractical due to the high cost of manual information extraction. In this paper we describe a mixture method for automatically mining acknowledgements from research documents using a combination of a Support Vector Machine and regular expressions. The algorithm has been implemented as a plug-in to the CiteSeer Digital Library and the extraction results have been integrated with the traditional metadata and citation index of the CiteSeer system. As a demonstration, we use CiteSeer's autonomous citation indexing (ACI) feature to measure the relative impact of acknowledged entities, and present the top twenty acknowledged entities within the archive.
UR - http://www.scopus.com/inward/record.url?scp=34547952911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547952911&partnerID=8YFLogxK
U2 - 10.1145/1088622.1088627
DO - 10.1145/1088622.1088627
M3 - Conference contribution
AN - SCOPUS:34547952911
SN - 1595931635
SN - 9781595931634
T3 - Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05
SP - 19
EP - 26
BT - Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05
Y2 - 2 October 2005 through 5 October 2005
ER -