Human assessments of document similarity

نویسندگان

  • Steve J. Westerman
  • Timothy Cribbin
  • J. Collins
چکیده

at the INTERACT " 99 conference. Abstract Two studies are reported that examined the reliability of human assessments of document similarity and the association between human ratings and the results of n-gram automatic text analysis (ATA). Human inter-assessor reliability (IAR) was moderate to poor. However, correlations between average human ratings and n-gram solutions were strong. The average correlation between ATA and individual human solutions was greater than IAR. N-gram length influenced the strength of association, but optimum string length depended on the nature of the text (technical versus non-technical). We conclude that the methodology applied in previous studies may have led to over-optimistic views on human reliability, but that an optimal n-gram solution can provide a good approximation of the average human assessment of document similarity, a result that has important implications for future development of document visualization systems.

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عنوان ژورنال:
  • JASIST

دوره 61  شماره 

صفحات  -

تاریخ انتشار 2010