Passage Ranking with Weak Supervision

15 May 2019Peng XuXiaofei MaRamesh NallapatiBing Xiang

In this paper, we propose a \textit{weak supervision} framework for neural ranking tasks based on the data programming paradigm \citep{Ratner2016}, which enables us to leverage multiple weak supervision signals from different sources. Empirically, we consider two sources of weak supervision signals, unsupervised ranking functions and semantic feature similarities... (read more)

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