2008
DOI: 10.1002/asi.20830
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Using the shape recovery method to evaluate indexing techniques

Abstract: Text representation, central to information processing, must be descriptive and discriminative. Although some of the many techniques to construct document representations may outperform others for certain tasks, no one is consistently better than others. Representations are still problematic. Evaluation techniques are needed to penetrate foundational questions about term behavior in representation. A study that applies the shape recovery analysis method is reported here as an evaluative tool to compare differe… Show more

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Cited by 2 publications
(3 citation statements)
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“…Besides appearing on the first page of each JASIST publication, the “publication history” of papers published since 2001 is also provided on their dedicated web pages. Histories are composed of the following metadata, with example values from Oyarce (): Manuscript received: 24 JUN 2007 Manuscript revised: 31 DEC 2007 Manuscript accepted: 1 JAN 2008 Article first published online: 14 MAY 2008 Issue published online: 9 JUN 2008 …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Besides appearing on the first page of each JASIST publication, the “publication history” of papers published since 2001 is also provided on their dedicated web pages. Histories are composed of the following metadata, with example values from Oyarce (): Manuscript received: 24 JUN 2007 Manuscript revised: 31 DEC 2007 Manuscript accepted: 1 JAN 2008 Article first published online: 14 MAY 2008 Issue published online: 9 JUN 2008 …”
Section: Methodsmentioning
confidence: 99%
“…Ladle, Malhado, and Todd (), for instance, using Google Scholar, found a 600% increase in the number of submissions received on Christmas Day in 2006 compared with the same day in 1996. The paper by Oyarce () provides yet another extreme example of a dedicated author and editor. According to our data, this revised JASIST paper was submitted on December 31, 2006, and accepted on January 1, 2007!…”
Section: Limitationsmentioning
confidence: 99%
“…One example from the LIS literature may assist here. Oyarce (2008) has established a model that can indicate relevant and non-relevant documents. See Figure 1.…”
Section: Approaching Categoriesmentioning
confidence: 99%