TREC 2019 Passage Ranking
1 papers with code • 1 benchmarks • 1 datasets
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Most implemented papers
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
In particular, based on the pseudo-relevant set of documents identified using a first-pass dense retrieval, we extract representative feedback embeddings (using KMeans clustering) -- while ensuring that these embeddings discriminate among passages (based on IDF) -- which are then added to the query representation.