Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
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资源简介：
Teacher train files (ids only), based on the MSMARCO-Passage collection, for the paper: <em>Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation</em> Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan and Allan Hanbury (https://arxiv.org/abs/2010.02666) for the documentation please see: https://github.com/sebastian-hofstaetter/neural-ranking-kd
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Zenodo创建时间：
2020-10-07
