Biblio: Automatic meta-data extraction

Staelin, Carl ; Elad, Michael ; Greig, Darryl ; Shmueli, Oded ; Vans, Marie

HP Development Company

关键词: document understanding;    learning;    support vector machines;    neural networks;   

RP-ID  :  HPL-2004-190

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

Biblio is an adaptive system that automatically extracts meta-data from semi. structured and structured scanned documents. Instead of using hand- coded templates or other methods manually customized for each given document format, it uses example-based machine learning to adapt to customer-defined document and meta-data types. We provide results from two document corpuses, a set of scanned journal articles and a set of scanned legal documents. The first set is semi-structured, as the different journals use a variety of flexible layouts. The second set is largely free-form text based on poor quality scans of FAX- quality legal documents. We demonstrate accuracy on the semi-structured document set roughly comparable to hand-coded systems, and much worse performance on the legal documents. 26 Pages