Currently, AckSeer indexes acknowledgments from more than 500,000 papers in CiteSeerX. These acknowledgements contain more than 4 million acknowledged entities with approximately 2 million of them unique. Entity extraction is based on AlchemyAPI and OpenCalais. Acknowledged entities are ranked by citation. AckSeer is developed and maintained at the College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA. For questions and feedback, please use CiteSeerX support.
- Madian Khabsa, Pucktada Treeratpituck, and C. Lee Giles, AckSeer: A Repository and Search Engine for Automatically Extracted Acknowledgments from Digital Libraries . To appear in ACM/IEEE Joint Conference on Digital Libraries 2012.
- Madian Khabsa, Sharon Koppman, and C. Lee Giles. Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic Documents . To appear in International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP12). 2012.
- Councill, I.G. and Giles, C.L. and Han, H. and Manavoglu, E. Automatic acknowledgement indexing: expanding the semantics of contribution in the CiteSeer digital library . Proceedings of the 3rd international conference on Knowledge capture. 2005
- C.L. Giles, I.G. Councill, "Who gets acknowledged: Measuring scientific contributions through automatic acknowledgement indexing," Proceedings of the National Academy of Sciences, 101(51): 17599-17604, 2004.
Acknowledgments:AckSeer is built using the following tools: