Search Results for author:
Found 1 papers, 0 papers with code
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
This paper revisits cluster-based retrieval that partitions the inverted index into multiple groups and skips the index partially at cluster and document levels during online inference using a learned sparse representation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
