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Automated Resolution of Noisy Bibliographic References

Markus Demleitner·Michael Kurtz·Alberto Accomazzi·Günther Eichhorn·Carolyn S. Grant·Steven S. Murray
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Abstract

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.

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Markus Demleitner, Michael Kurtz, Alberto Accomazzi, Günther Eichhorn, Carolyn S. Grant, Steven S. Murray. 2004-01-27. Automated Resolution of Noisy Bibliographic References. https://arxiv.org/abs/cs/0401028

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