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Semanticizing search engine queries

David Graus, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
<span title="">2014</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the first international workshop on Entity recognition &amp; disambiguation - ERD &#39;14</a> </i> &nbsp;
We describe how we adapt the Semanticizer-an open-source entity linking framework developed primarily at the University of Amsterdam-to the task of the ERD challenge: linking named entities in search engine  ...  This paper describes the University of Amsterdam's participation in the short track of the Entity Recognition & Disambiguation Challenge 2014 (ERD 2014).  ...  Webscope dataset: ydata-search-query-log-to-entities-v1_0. 6 This dataset is a natural fit to the ERD task, as its domain is identical to that of the ERD 2014 challenge: search engine queries (in the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/2633211.2634354</a> <a target="_blank" rel="external noopener" href="">dblp:conf/sigir/GrausOTWR14</a> <a target="_blank" rel="external noopener" href="">fatcat:ebyui5gjn5hs7ayqm4hod55iaq</a> </span>
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