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Creators/Authors contains: "Foley, John"

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  1. ; ; ; (, Proceedings of the 2019 International Conference on the Theory of Information Retrieval (ICTIR 2019))
    We present a variation of the corpus-based entity set expansion and entity list completion task. A user-specified query and a sentence containing one seed entity are the input to the task. The output is a list of sentences that contain other instances of the entity class indicated by the input. We construct a semantic query expansion model that leverages topical context around the seed entity and scores sentences. The proposed model finds 46\% of the target entity class by retrieving 20 sentences on average. It achieves 16\% improvement over BM25 model in terms of recall@20. 
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