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arXiv cs/0401028cs.DL
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带噪声参考文献的自动解析

Automated Resolution of Noisy Bibliographic References

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

摘要:

我们描述了一个系统使用的NASA天体物理学数据系统,以确定从扫描的文章页面通过OCR方法在书目数据库中的记录获得的参考书目。我们分析了产生噪声参考的过程,并得出结论,纠正OCR结果,解析纠正后的字符串,并将其与数据库匹配的三步过程提供了不令人满意的结果。相反,我们提出了一种方法,允许控制合并的校正,解析和匹配,依赖语法的启发。我们还报告了我们用来提高回忆率的各种方法的有效性。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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