575 citations · 1.6k across the 40 of their papers we have counts for
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cs.IR2017★ 114 cited
Word-Entity Duet Representations for Document Ranking
Chenyan Xiong, Jamie Callan, Tie-Yan Liu
This paper presents a word-entity duet framework for utilizing knowledge bases in ad-hoc retrieval. In this work, the query and documents are modeled by word-based representations…
cs.IR2017★ 575 cited
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Chenyan Xiong, Zhuyun Dai, Jamie Callan +2
This paper proposes K-NRM, a kernel based neural model for document ranking. Given a query and a set of documents, K-NRM uses a translation matrix that models word-level similariti…