✦ LIBER ✦

Automated judgment of document qualities

✍ Scribed by Kwong Bor Ng; Paul Kantor; Tomek Strzalkowski; Nina Wacholder; Rong Tang; Bing Bai; Robert Rittman; Peng Song; Ying Sun

Publisher: John Wiley and Sons
Year: 2006
Tongue: English
Weight: 464 KB
Volume: 57
Category: Article
ISSN: 1532-2882
DOI: 10.1002/asi.20393

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

The authors report on a series of experiments to automate the assessment of document qualities such as depth and objectivity. The primary purpose is to develop a quality‐sensitive functionality, orthogonal to relevance, to select documents for an interactive question‐answering system. The study consisted of two stages. In the classifier construction stage, nine document qualities deemed important by information professionals were identified and classifiers were developed to predict their values. In the confirmative evaluation stage, the performance of the developed methods was checked using a different document collection. The quality prediction methods worked well in the second stage. The results strongly suggest that the best way to predict document qualities automatically is to construct classifiers on a person‐by‐person basis.

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