Search (2 results, page 1 of 1)

  • × author_ss:"Sun, Y."
  • × author_ss:"Kelly, D."
  • × year_i:[2000 TO 2010}
  1. Kelly, D.; Wacholder, N.; Rittman, R.; Sun, Y.; Kantor, P.; Small, S.; Strzalkowski, T.: Using interview data to identify evaluation criteria for interactive, analytical question-answering systems (2007) 0.02 
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    Abstract
    The purpose of this work is to identify potential evaluation criteria for interactive, analytical question-answering (QA) systems by analyzing evaluative comments made by users of such a system. Qualitative data collected from intelligence analysts during interviews and focus groups were analyzed to identify common themes related to performance, use, and usability. These data were collected as part of an intensive, three-day evaluation workshop of the High-Quality Interactive Question Answering (HITIQA) system. Inductive coding and memoing were used to identify and categorize these data. Results suggest potential evaluation criteria for interactive, analytical QA systems, which can be used to guide the development and design of future systems and evaluations. This work contributes to studies of QA systems, information seeking and use behaviors, and interactive searching.
  2. Wacholder, N.; Kelly, D.; Kantor, P.; Rittman, R.; Sun, Y.; Bai, B.; Small, S.; Yamrom, B.; Strzalkowski, T.: ¬A model for quantitative evaluation of an end-to-end question-answering system (2007) 0.02 
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    Abstract
    We describe a procedure for quantitative evaluation of interactive question-answering systems and illustrate it with application to the High-Quality Interactive QuestionAnswering (HITIQA) system. Our objectives were (a) to design a method to realistically and reliably assess interactive question-answering systems by comparing the quality of reports produced using different systems, (b) to conduct a pilot test of this method, and (c) to perform a formative evaluation of the HITIQA system. Far more important than the specific information gathered from this pilot evaluation is the development of (a) a protocol for evaluating an emerging technology, (b) reusable assessment instruments, and (c) the knowledge gained in conducting the evaluation. We conclude that this method, which uses a surprisingly small number of subjects and does not rely on predetermined relevance judgments, measures the impact of system change on work produced by users. Therefore this method can be used to compare the product of interactive systems that use different underlying technologies.

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