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Pratt, W., Dynamic Categorization: A Method for Decreasing Information Overload, in Medical Information Sciences. 1999, Stanford University. p. 171.

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Evaluation of Index Term Discovery in Medical Reference Text - Wollersheim, Rahayu, Reeve (2002)   (Correct)

....2 shows the pruned taxonomy after a zoom on the concept amoxycillin. If a text atom is not classified by amoxycillin, it is not included in the pruned taxonomy. A similar medically based dynamic hierarchical categorisation search system has been shown to be an effective tool for users. Dynacat [3, 4] users found significantly (P 0.05) more answers in a fixed amount of time, and were significantly (P 0.05) more satisfied with this tool over cluster or ranking systems. To function, a dynamic taxonomy needs a text base that has been multiply classified by concepts from a taxonomy. The taxonomy ....

Pratt, W., Dynamic Categorization: A Method for Decreasing Information Overload, in Medical Information Sciences. 1999, Stanford University. p. 171.


QueryCat: Automatic Categorization of MEDLINE Queries - Pratt, Wasserman (2000)   (1 citation)  Self-citation (Pratt)   (Correct)

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Pratt W. Dynamic Categorization: A Method for Decreasing Information Overload. PhD Thesis. Medical Information Sciences, Stanford University.


A Knowledge-Based Approach to Organizing Retrieved Documents - Pratt, Hearst, al. (1999)   (5 citations)  Self-citation (Pratt)   (Correct)

....terminology model s hierarchy to find a term that is a parent to several document categories. DynaCat is implemented in Common LISP, and makes use of the search engine developed by Lexical Technology, Inc. Tuttle, et al. 1996) For more information on the system and algorithms see (Pratt 1997; Pratt 1999). Evaluation We performed a user study to assess the usefulness of the DynaCat approach. Our hypothesis is that the dynamic categorization of search results is more useful to users who have general questions than are the two other dominant dynamic approaches to organizing search results: ranked ....

Pratt, W. 1999. Dynamic Categorization: A Method for Decreasing Information Overload. Medical Information Sciences. Stanford, Stanford University.

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