57 citations · 64 across the 4 of their papers we have counts for
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cs.IR2017★ 7 cited
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval
Kai Hui, Andrew Yates, Klaus Berberich +1
Neural IR models, such as DRMM and PACRR, have achieved strong results by successfully capturing relevance matching signals. We argue that the context of these matching signals is…
cs.IR2017
PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui, Andrew Yates, Klaus Berberich +1
In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given use…