Jul 3, 2014 · First we show how to adapt state-of-the-art query-performance predictors proposed for document retrieval to the entity retrieval domain. We then ...

A novel predictor is presented that is based on the cluster hypothesis that can often outperform the most effective predictors the authors experimented with ...

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We address the query-performance-prediction task for entity retrieval; that is, retrieval effectiveness is estimated with no relevance judgements.

We address the query-performance-prediction task for entity retrieval; that is, retrieval effectiveness is estimated with no relevance judgements.

Query performance prediction aims to estimate the quality of answers that a search system will return in response to a particular query. In this paper we ...

This paper proposes a novel semantics-based query performance prediction approach based on estimating semantic similarities between queries and documents.

Post-retrieval Query Performance Prediction (QPP) methods benefit from the characteristics of the retrieved set of documents to determine query difficulty.

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More in detail, Krikon et al. [27] devise a post- retrieval predictor that employs named entities to determine if a passage contains the answer to the user's ...