Automated Resolution of Noisy Bibliographic References
  We describe a system used by the NASA Astrophysics Data System to identify bibliographic references obtained from scanned article pages by OCR methods with records in a bibliographic database. We analyze the process generating the noisy references and conclude that the three-step procedure of correcting the OCR results, parsing the corrected string and matching it against the database provides unsatisfactory results. Instead, we propose a method that allows a controlled merging of correction, parsing and matching, inspired by dependency grammars. We also report on the effectiveness of various heuristics that we have employed to improve recall. 
Markus Demleitner, Michael Kurtz, Alberto Accomazzi, G\"unther   Eichhorn, Carolyn S. Grant, Steven S. Murray