Radboud University at TREC 2020
Text REtrieval Conference(2020)
摘要
The IR research group from the Radboud University (RUIR) has an interest in creating graph-based solutions for domain specific challenges. We aim to increase effectiveness by incorporating domain knowledge into graph development. This work was developed as part of a Master’s thesis project about graph representations for news articles of TREC’s background linking task [1]. The introduced work explores the use of named entities, novelty scores and diversification of background documents.
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