| Abstract
| - Topical search queries in SciFinder Scholar are processed through an extensive set of natural languageprocessing algorithms that greatly enhance the relevance and comprehensiveness of the search results. Littledetailed documentation on these algorithms has been published. However, a careful examination of thehighlighted hit terms coupled with a comparison of results from small variations in query language revealmuch additional, useful information about these algorithms. An understanding of how these algorithmswork can lead to better search results and explain many unexpected results, including differing hit countsfor singular versus plural query words and phrases.
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