Query Focused Variable Centroid Vectors for Passage Re-ranking in Semantic Search.
arXiv: Computation and Language, Volume abs/1804.08057, 2018.
In this paper, we propose a new approach for passage re-ranking. We show that variable (i.e. non-static) centroid vectors for passages, created based on the given query, significantly improves passage re-ranking results compared to that obtained using static centroid vectors. We also show that the results are comparable to RWMD-Q, an exis...更多
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