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DMINR at TREC News Track
2019
Text Retrieval Conference
This paper describes the use of the DMINR Named entity extraction and linking system in TREC 2019. The track entered for are: News track, involves both Background Linking and Entity Ranking. Our approach to each of these tasks draws on prior work done by City, University of London at the TREC conference. In the background linking task, we treated the problems as an adhoc search task, using Named Entities (NEs) from a set of documents identified in pseudo relevance feedback, and optimizing these
dblp:conf/trec/MissaouiMMG19
fatcat:azqxt7mdczcklbxro7kd4mstti