Automated Resolution of Noisy Bibliographic References
| dc.creator | Demleitner, Markus | |
| dc.creator | Kurtz, Michael | |
| dc.creator | Accomazzi, Alberto | |
| dc.creator | Eichhorn, Günther | |
| dc.creator | Grant, Carolyn S. | |
| dc.creator | Murray, Steven S. | |
| dc.date | 2004-01-27 | |
| dc.date.accessioned | 2026-07-07T03:20:51Z | |
| dc.date.available | 2026-07-07T03:20:51Z | |
| dc.description | 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. | |
| dc.description | 10 pages, 1 figure; accepted for publication in the proceedings of the 2004 Meeting of the International Federation of Classification Societies | |
| dc.identifier | https://arxiv.org/abs/cs/0401028 | |
| dc.identifier | http://arxiv.org/abs/cs/0401028 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31976 | |
| dc.subject | Digital Libraries | |
| dc.subject | H.3.7; H.3.2 | |
| dc.title | Automated Resolution of Noisy Bibliographic References | |
| dc.type | text |