Abstract: When searching a database for a topic (e.g. Covid-19), there may not exist a precise match, especially if the topic is novel. Furthermore, the topic may surface in the data under different guises (‘Covid-19,’ ‘coronavirus,’ ‘pandemic’, etc.). The results of a keyword search are limited by the querier’s imagination and familiarity with the data. Such searches have high precision, but low recall. In order to increase the recall of searches, we present the Semantic Search Pipeline, a novel approach to document retrieval that uses dis...
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Topics: 
Information retrieval