A probabilistic framework for integrating sentence-level semantics via BERT into pseudo-relevance feedback
Abstract: Highlights•We propose a probabilistic framework integrating sentence-level semantic into PRF for expanding terms which are more semantically consistent with the query.•Three enhanced models are generated by applying the probability framework to Rocchio-based PRF models.•Experimental results highlight the proposed framework is robust and effective.
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