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Ng, K.B.; Kantor, P.B.; Strzalkowski, T.; Wacholder, N.; Tang, R.; Bai, B.; Rittman,; Song, P.; Sun, Y.: Automated judgment of document qualities (2006)
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- 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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Wacholder, N.: Interactive query formulation (2011)
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Wacholder, N.; Byrd, R.J.: Retrieving information from full text using linguistic knowledge (1994)
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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)
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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)
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Liu, Y.-H.; Wacholder, N.: Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers (2017)
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Wacholder, N.; Liu, L.: User preference : a measure of query-term quality (2006)
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Wacholder, N.; Liu, L.: Assessing term effectiveness in the interactive information access process (2008)
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Muresan, S.; Gonzalez-Ibanez, R.; Ghosh, D.; Wacholder, N.: Identification of nonliteral language in social media : a case study on sarcasm (2016)
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