@inproceedings{82e8fc885f0245fe9082d1e92129c256,
title = "Automatic acknowledgement indexing: Expanding the semantics of contribution in the CiteSeer digital library",
abstract = "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.",
author = "Councill, \{Isaac G.\} and Giles, \{C. Lee\} and Hui Han and Eren Manavoglu",
year = "2005",
month = oct,
day = "2",
doi = "10.1145/1088622.1088627",
language = "English (US)",
isbn = "1595931635",
series = "Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05",
publisher = "Association for Computing Machinery (ACM)",
pages = "19--26",
booktitle = "Proceedings of the 3rd International Conference on Knowledge Capture, K-CAP'05",
address = "United States",
note = "3rd International Conference on Knowledge Capture, K-CAP'05 ; Conference date: 02-10-2005 Through 05-10-2005",
}