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SciFinder Scholar 2006: An Empirical Analysis of Research Topic Query Processing - article by A. Ben Wagner

.: As noted by Kevin Lindstrom on CHMINF-L, A Ben Wagner has written an article about the natural language algorithms used by SciFinder Scholar. The article is titled SciFinder Scholar 2006: An Empirical Analysis of Research Topic Query Processing, and it appears in the Journal of Chemical Information and Modeling. According to the journal web site, free access is available to the HTML and PDF versions of Ben's article. Abstract:

Topical search queries in SciFinder Scholar are processed through an extensive set of natural language processing algorithms that greatly enhance the relevance and comprehensiveness of the search results. Little detailed documentation on these algorithms has been published. However, a careful examination of the highlighted hit terms coupled with a comparison of results from small variations in query language reveal much additional, useful information about these algorithms. An understanding of how these algorithms work can lead to better search results and explain many unexpected results, including differing hit counts for singular versus plural query words and phrases.

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