DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
@article{Pang2017DeepRankAN, title={DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval}, author={Liang Pang and Y. Lan and J. Guo and Jun Xu and J. Xu and X. Cheng}, journal={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management}, year={2017} }
This paper concerns a deep learning approach to relevance ranking in information retrieval (IR. [...] Key Method Firstly, a detection strategy is designed to extract the relevant contexts. Then, a measure network is applied to determine the local relevances by utilizing a convolutional neural network (CNN) or two-dimensional gated recurrent units (2D-GRU). Finally, an aggregation network with sequential integration and term gating mechanism is used to produce a global relevance score. DeepRank well captures…Expand Abstract
Paper Mentions
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